We’re seeking someone to join our risk function of enterprise technology & risk divisions team as a APAC Risk Officer in Tech Risk Gov & Controls to support Asia regional risk and control self-assessment programs and governance programs, provide a direct support and liaison for senior Asia ETR regional management.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cyber, Data, Risk & Resiliency Management Manager position at Vice President level, which is part of the job family responsible for identifying, assessing, and mitigating risks to ensure operational continuity and resilience in the face of potential threats or disruptions that could impact the organization, plus management of ongoing incidents.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.

What you'll do in the role:

• Staff, develop and lead one or more teams which is part of a department.
• Analyze multiple sets of information to create summaries for various stakeholders.
• Manage the overall engagement of the Division with Firmwide risk and control groups as appropriate. This includes CDRR(Technology Risk department) Identity and Access Management, Resiliency, Network Security, entitlements, Cyber, data, ORD(Operational Risk Department) and Internal Audit.
• Manage the engagement with Technology Risk teams and SME in support of agreed controls to monitor and coordinate the implementation and adoption of all applicable processes and tools. Determine the scope and manage the execution of any necessary remediation work to achieve the agreed level of adoption in the Division. For Identity and Access Management, for example, this includes the use of approved provisioning tools, the definition of entitlements models, technology Segregation of Duty tagging, entitlements classification.
• Manage the engagement with Technology Risk to collaborate on the design of new controls or control process for use across Technology. In addition, facilitate the deployment and adoption of new controls and control processes and facilitate the setting of scope for such activity within the Division
• Monitor the completeness and appropriateness of key risk and control related data and raise concerns with data owners and escalate to Divisional management if required. This includes Divisional risk data in the risk register and in the Firm's issue and action plan tracking system (OpenPages), Technology Asset Inventory (TAI) reference data, Technology Access Management (TAM) related roles and Business Continuity data
• Review and approve certain control related reference data in TAI. This includes new assets, new teams and changes to Segregation of Duty tagging

Ensure management awareness and governance around progress on risk responses from across the risk and control agenda through regular reporting to management

What you'll bring to the role:

· Experience in effectively executing IT strategy, delivery and complex initiatives.

· Ability to present information in a clear and concise manner to technology and business leadership.

· Advanced understanding of functional area and competent understanding of competitive environment. At least 8 years' relevant experience in technology risk management in the financial services or other regulated industry would generally be expected to find the skills required for this role.

· Familiarity with the Technology risk management framework and control self-assessment process

· Experience of team management / relationship management in a matrix management structure

· Proven leadership skills with excellent track record in delivering high performance

· Experience of risk reporting / dashboard generation / KRIs

· Familiar with regulatory technology requirements, Experience of regulatory and audit engagements local industry forums

· Strong understanding of Asia financial industry business and how technology being leveraged

· Ability to influence and engage with senior management and stakeholders

· Ability to manage expectations and handle high-pressure situations with tight deadlines

· Ability to quickly adapt to changing priorities and demands

· Excellent communication / interpersonal skills and able to interact at all levels of the organization and with local regulators as well as be effective as part of a broader team, additional fluency in regional language highly desired.

· Knowledge and understanding of infrastructure technologies and / or security technologies.

· Self-starter able to complete role with minimal supervision, paying close attention to detail
Knowledge and understanding of infrastructure technologies and / or security technologies.

· Certifications in the IT Risk area such as CISA, CISSP / CISSM (or equivalent) would be an advantage

· Strong project management skills; proven ability to prioritize business objectives and effectively manage

regulatory agenda in a dynamic environment

What you can expect from Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Job Description:

1. Data Collection and Management:
- Gathering data from various sources, ensuring its accuracy, and maintaining databases.

2. Data Analysis:
- Utilizing statistical methods and tools to analyze trends, patterns, and correlations within data sets.

3. Reporting:
- Creating detailed reports and dashboards to present findings to stakeholders, highlighting key metrics and performance indicators.

4. Requirement Gathering:
- Collaborating with business units to understand their needs and translate them into data-driven solutions.

5. Problem Solving:
- Identifying business challenges and recommending data-driven strategies to improve operations, efficiency, and profitability.

6. Forecasting and Modeling:
- Developing predictive models to forecast trends and outcomes, aiding strategic planning.

7. Cross-Functional Collaboration:
- Working with IT, marketing, and finance teams to ensure data alignment and support business objectives.

8. Training and Support:
- Providing guidance to teams on data tools and methodologies, fostering a data-driven culture within the organization.

Data System Officer

For inbound travel agency

GCE "N" / "O" level

Responsible for sales data including costing

Pleasant personality

Experience not necessary, training will be provided

5 days office work week

Working hours 9am-6pm with 1 hour lunch time

Knowledge of Microsoft office will be advantage

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Data Protection and Privacy:

- Develop, implement, and maintain data protection policies and procedures in accordance with legal requirements and industry best practices.

- Ensure compliance with data protection laws and regulations, such as GDPR, CCPA, and other applicable frameworks.

- Conduct regular audits and assessments to identify potential risks and vulnerabilities in data protection processes.

2) Data Governance:

- Collaborate with the Data Governance team to establish data management policies that align with organizational goals.

- Support the development and maintenance of a data governance framework, including data standards, policies, and procedures.

- Work to improve data quality and integrity across the organization.

3) Risk Management:

- Identify and assess data protection risks and develop mitigation strategies.

- Manage data breach incidents, including investigation, response, and reporting.

4) Training and Awareness:

- Develop and deliver training programs to educate employees on data protection and privacy best practices.

- Foster a culture of data protection awareness throughout the organization.

5) Stakeholder Collaboration:

- Act as a point of contact for data protection queries and issues within the organization.

- Collaborate with IT, legal, compliance, and other relevant departments to ensure cohesive data protection strategies.

6) Reporting and Documentation:

- Prepare and present reports on data protection activities, risks, and compliance status to senior management.

Maintain comprehensive documentation of data protection policies, procedures, and compliance efforts.

Job Requirements

• Bachelor’s degree in information technology, Law, Business Administration, or a related field.
• Strong knowledge of data protection regulations, excellent communication skills, and experience with data management tools
• Certified Information Privacy Professional (CIPP) or similar certification is preferred.
• Preferably has experience working with cross-geographical teams
• 3-5 years in data protection, privacy, or a related field.
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

• Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities

Preferred qualifications

• 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

Must have:

• Strong experience in designing test cases using cucumber BDD format.
• Strong experience on Web automation tools (Selenium)
• Should be well versed in Automation (Selenium with Java), Framework development or maintenance.
• Should be an expert in using Selenium – using Cucumber and POM Design Pattern.
• Experience in programming language – Java.
• Experience in Agile Methodologies and tools – JIRA, Confluence and Bitbucket
• Willing to do manual testing on need basis.
• Experience in all the phases of software testing lifecycle (STLC).
• Provide technical leadership using relevant Automation experience and knowledge.
• Devise innovative approaches to complex problems through adaptations and modifications of standard automation technical principles.
• Lead technical root cause analysis, incident investigations, and solving problems on process control issues
• Collaborating with QA Analysts and Software Developers to develop solutions.
• Proficiency in programming languages such as Java, Python, C# etc.
• Excellent mathematical and problem-solving skills.
• Highly accurate and detail-oriented.
• Having knowledge of Maven, Cucumber, Jenkins, etc. will be an advantage

Good to have:

• Knowledge on API testing using Java and Rest Assured
• Knowledge on the CI/CD
• Knowledge in Banking domain – Retail and Corporate banking

• Location: Jurong / Clementi / Tampines
• Working days & time: 40 hours a week
• Salary: $2800 - $3500

Responsibilities：

• Teaching of classes
• Communication with Parents and Students
• Revise materials to keep up-to-date with syllabus and developments
• Improve back-end systems for greater customer success
• Ad-hoc administration and projects

Requirements:

• Relevant experience in teaching Math
• Diploma / Degree holder

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

We are looking for contract role in the Client Data Chapter, as a Data Modeler, who will work closely with our data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models.

As data is deemed as a strategic asset for Bank of Singapore, this candidate should be a thought leader who will understand and solve identified business problems from curated datasets.

If you have a strong interest and the knowledge in using analytical tools to drive quality assurance, are passionate about driving data quality and process improvements, and have a knack for problem-solving, this is the opportunity for you.

Join our team as a Data Modeler and play a key role in designing and implementing data models that support our organization's data-driven initiatives. You will also be responsible for ensuring the accuracy, completeness, and consistency of our data models, as well as maintaining their documentation and metadata. Your expertise in data modelling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

You will support the Client Data Owners and the Client Data Steward in the following:

MAIN DUTIES:

• Develop and maintain complex data models for business data analysis and reporting purposes.
• Collaborate with stakeholders and cross-functional teams to understand data requirements and design Client Data model for the new Client Lifecycle Management System that align with business needs.
• Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our client data modelling processes.
• Ensure appropriate and confidential handling/sharing of sensitive client data
• Identify red flags and escalate in line with policy and procedures
• Ensure timely follow-up and/or escalation to stakeholders
• Responsible for completing delegated and ad-hoc tasks within the established timeframes.

Requirements

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• Strong understanding of SQL and data modelling concepts
• Proficiency in data modelling tools such as Erwin or PowerDesigner.
• Experience in designing and implementing database structures.
• Ability to create and maintain conceptual, logical, and physical data models.
• Familiarity with data warehousing and ETL processes
• Knowledge of industry best practices for data modelling and database design
• Ability to collaborate with cross-functional teams to gather and analyse data requirements.
• Experience in performance tuning and optimization of database queries.
• Strong analytical and problem-solving skills
• Clear communicator, with the ability to articulate ideas with data.
• Fine eye for detail with the ability to work with structured and unstructured data, including internal and external data.
• Experience with operating in a corporate environment and stakeholder management.
• Prior exposure to wealth management, asset management or portfolio management is a plus.
• Strong results driven personality with an innovative spirit.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

• Location: Jln Senyum(Near Kembangan mrt)
• Working Days: 6 days (off weekday)
• Working Hours: 8.30am – 4.30pm
• Salary: $1,900 - $2,100

Responsibilities:

• With Class 3 Driving Licence – to drive Volunteers for meetings and errands
• Assist in Temple's and Memorial Hall's daily operations
• Support events organized by the Temple (Vesak, Qing Ming & Ullambana Festival)
• Attend to customers’ enquiries
• Other general / ad-hoc duties as assigned

Requirements:

• Basic Computer Knowledge
• Able to work 6-day’s week (including weekends and public holidays)

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Process Support:

- Keep up to date with latest procedures, forms and templates

- Assist to raise requests, complete forms, obtain approvals, etc. as required by process

- Track timeline and actions according to plan

- Coordinate and follow up to meet timelines

- Organize and file documents

2) Department Asset Inventory Management:

- Document purchases

- Regularly report expiries in advance and expenses against budget

3) Department Budget Record:

- Populate budget items

- Document submitted and approved budget

- Document allocation method and allocation

4) Department Initiative/Program/Project Tracking:

- Document all initiatives, programs, projects

- Record status in regular department meetings

5) Department Visitor Management:

- Manage access and refreshment if required

- Receive and bring visitors to meeting area

6) Department Communication Management:

- Regularly check department mailboxes, emails, tickets to ensure timely response

- Coordinate and schedule department meetings

- Manage and distribute Work From Home/Office schedule

7) Department Reporting:

- Assist in compiling committee and board reports

- Note and remind presenters of reporting schedules

8) Process Improvement:

Constantly look to enhance current process with better tools or methods

Job Requirement

• Proficiency in MS Office (Word, Excel, PowerPoint) and other office software
• Strong written and verbal communication skills
• Good time management and prioritization skills
• Preferably has experience working with cross-geographical teams
• Proven experience as an administrative assistant or similar role
• Diploma or equivalent
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build out data infrastructure and data pipelines in a secure and privacy compliant manner.
• Work with feature teams to provide reliable data and infrastructure.
• Maintain existing data infrastructure and ensure critical data is available and reliable.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Java, C++).

Preferred qualifications

• Experience working with large data and creating and making available data cubes for other teams.
• Experience in optimizing data processing pipelines and data serving.
• Experience with data analysis and visualization tools (e.g., SQL, Colab).

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 100,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,500 of the brightest and most innovative people in tech located across more than 20 offices across the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us.

About the team

As the engineering organization matures, the infrastructure teams are the key to Airwallex's ability to build a globally distributed platform, increase engineer productivity and ensure effective use of resources. Our teams work to provide the best possible experience for our developers and customers while providing a safe and secure environment to ensure that our financial solutions are always available.

What you’ll do

The Data Infrastructure team is tasked with providing our data engineering and analytics teams with the right tools. You will be responsible for developing and maintaining the data infrastructure, incorporating technologies such as Kafka, Flink, and Spark. Additionally, you will create and enhance tooling and platforms to empower the engineering team with improved self-service capabilities.

This role is based in Singapore.

Responsibilities:

• Design and implement a robust and scalable data infrastructure tailored to meet different needs of the engineering team.
• Design and develop scalable software applications or systems that provide good self-service capabilities and ensure robust architecture and maintainability.
• Conduct comprehensive testing and quality assurance to identify and rectify errors, ensuring the software aligns with quality standards and functions effectively.
• Perform ongoing maintenance and troubleshooting for deployed software, implementing updates and enhancements to improve functionality and address evolving needs.
• Collaborate effectively with cross-functional teams to ensure project alignment and timely delivery.
• Engage in continuous learning to stay abreast of emerging technologies, programming languages, and development methodologies, enhancing the quality and efficiency of software solutions.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

• A minimum of 5 years of engineering experience.
• Bachelor degree or above in computer science or engineering related majors.
• Extensive understanding of software development lifecycle, with experience in building frameworks or tools for various stages.
• Demonstrated expertise in Kubernetes, Terraform, and GitOps
• Hands-on experience with at least one programming language.
• Commitment to best practices in engineering, security, and design.

Preferred qualifications:

• Data streaming engineering experience.
• Prior experience working with data streaming platforms such as Kafka.

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

iNova was certified as a Best Place to Work in 2021. We are innovative, motivated, and passionately solution focused to support our customers in leading a healthy lifestyle. Join the team to experience the reasons why people love working for us!

The Opportunity

We currently have an opportunity for a Data Governance & Data Quality Engineer to join our Group Technology Team in Singapore.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Governance and Data Quality Engineer is responsible for designing, implementing, and maintaining data governance and data quality frameworks across the organization.

The engineer will work closely with stakeholders across the business to implement data quality best practices and ensure adherence to data governance policies.

This role will involve establishing processes and tools, such as Collibra, Informatica, or Ataccama, to ensure data quality, compliance, and integrity for structured and unstructured data, including data stored in Snowflake, Microsoft SharePoint, and OneDrive.

Key Responsibilities

Data Quality and Governance:

• Develop and implement data quality and governance frameworks, policies, and standards to ensure data accuracy, completeness, and consistency.
• Define data quality and governance metrics and implement monitoring processes to track the health of data across various platforms.
• Implement and maintain Data Quality and Governance tools such as Collibra, Informatica, Purview or Ataccama to effect and monitor data quality and governance rules.
• Ensure compliance with data governance standards across all data sources, both structured (Snowflake, SQL databases) and unstructured (SharePoint, OneDrive).
• Collaborate with IT teams to ensure seamless implementation of data governance tools and integration with existing data architecture.
• Establish data stewardship models and workflows within governance tools, enabling business users to participate in data quality monitoring and issue resolution.
• Design and automate data quality checks and data profiling processes to identify and resolve data quality issues proactively.
• Work closely with data owners and stakeholders to resolve data quality issues and ensure alignment with business objectives.

Collaboration and Stakeholder Management:

• Partner with business and technical teams to understand data requirements and ensure data governance and quality processes meet business needs.
• Serve as a subject matter expert on data quality tools and processes, providing guidance and training to stakeholders across the organization.
• Collaborate with IT, Legal, Compliance, and other teams to ensure data governance policies adhere to regulatory requirements.

Documentation and Compliance:

• Develop and maintain comprehensive documentation of data governance policies, data quality standards, and processes.
• Ensure that data governance tools and practices align with industry best practices and organizational compliance requirements.
• Support audits and data reviews by providing evidence of data quality processes and governance adherence.
• Previous experience with CSV and GxP requirements would be a plus.

About You

To be successful in this role, you will possess a Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related discipline, with minimum 5 years of experience in data governance, data quality management, and data architecture.

Other key requirements for this role include:

• Extensive experience implementing and managing data governance and quality tools (e.g., Collibra, Informatica, Ataccama, Purview).
• Proven experience integrating data quality tools with data warehouses, particularly Snowflake, and unstructured data systems (e.g., SharePoint, OneDrive).
• Experience with data governance in cloud environments, particularly within the Microsoft ecosystem (Azure, SharePoint, OneDrive).
• Some experience with Snowflake, and Microsoft data management tools, including Azure Data Factory, Power BI, and SQL Server would be a plus.
• Some experience in building/incorporating Data Quality / Data Governance metrics into PowerBI dashboards.
• Familiarity with scripting languages like Python, SQL, or PowerShell for data automation and quality checks.
• Effective Communication Skills (Written & Verbal).
• Personal accountability for outcomes and providing high-quality service to business users
• A strong work ethic and a well-organized self-starter.
• Optimistic “can do” personality.
• Be open to change and willing to learn new skills.
• An ability to follow up on pending issues and meet deadlines.

Additional Requirements / Working Conditions

• Adhere to company values at all times

The Company

iNova is a different kind of health company. We are leading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Our diverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

If you wish to be part of an energetic team within a thriving organisation, focused on bringing innovative products to market, please APPLY TODAY! We want you to join us in our pursuit of healthy living!

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.

The opportunity

With our Data & Analytics team in FSO experiencing rapid growth, now is an exciting time to join us on this journey. We are looking for talent with a passion for data and the know-how to partner with our to clients to disrupt and transform Financial Services organisations. Whether you are a Consultant at the start of your career or a Manager looking for the next opportunity, if you want to make a difference by developing leading data and technology strategies and helping to solve our clients’ most pressing data challenges, we would love to hear from you.

Your key responsibilities

· Design the execution of our clients’ transformation programs to support their transition towards a data-driven organisation, with data and people at the heart of change.

· Bring to life a seamless data and analytics strategy that solve our clients’ most complex business challenges to enable the making of better-informed decisions.

· Design and implement data and technology operating models that encompass people, process, technology, and data.

· Leverage data platforms and solutions to help our clients visualise and better understand their data.

· Provide thought leadership on how our clients can innovate with traditional or emerging technology tools and disrupt their current ways of working to extract greater value from their input.

· Lead and support the creation of client proposals and business development initiatives.

Skills and attributes for success

· Understand how data strategies are created and implemented.

· Passion for designing large, multi-year data transformations with people at the centre of change.

· Passion for solving big complex problems using data and technology

· Working with diverse and inclusive teams of talented people solving client issues.

· Build strong, meaningful relationships with client stakeholders.

· Work as a team player to support other team members by sharing your knowledge, experience, and skillsets.

To qualify for the role, you must have

· Minimum 3 years’ experience in Financial Services (either industry or consulting and appropriate to your level). Preferably a year of consulting experience in any of the Big 4 or consulting firms.

· Experience in data and analytics approaches such as data mesh.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

· Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

· Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way

· Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

· Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.

The opportunity

With our Data & Analytics team in FSO experiencing rapid growth, now is an exciting time to join us on this journey. We are looking for talent with a passion for data and the know-how to partner with our to clients to disrupt and transform Financial Services organisations. Whether you are a Consultant at the start of your career or a Manager looking for the next opportunity, if you want to make a difference by developing leading data and technology strategies and helping to solve our clients’ most pressing data challenges, we would love to hear from you.

Your key responsibilities

· Design the execution of our clients’ transformation programs to support their transition towards a data-driven organisation, with data and people at the heart of change.

· Bring to life a seamless data and analytics strategy that solve our clients’ most complex business challenges to enable the making of better-informed decisions.

· Design and implement data and technology operating models that encompass people, process, technology, and data.

· Leverage data platforms and solutions to help our clients visualise and better understand their data.

· Provide thought leadership on how our clients can innovate with traditional or emerging technology tools and disrupt their current ways of working to extract greater value from their input.

· Lead and support the creation of client proposals and business development initiatives.

Skills and attributes for success

· Understand how data strategies are created and implemented.

· Passion for designing large, multi-year data transformations with people at the centre of change.

· Passion for solving big complex problems using data and technology

· Working with diverse and inclusive teams of talented people solving client issues.

· Build strong, meaningful relationships with client stakeholders.

· Work as a team player to support other team members by sharing your knowledge, experience, and skillsets.

To qualify for the role, you must have

· Minimum 6 years’ experience in Financial Services (either industry or consulting and appropriate to your level). Preferably a year of consulting experience in any of the Big 4 or consulting firms.

· Experience in data and analytics approaches such as data mesh.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

· Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

· Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way

· Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

· Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency

Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment

Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

As a Data Center Design Manager you will be part of a global engineering leadership team, comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, and Control Engineers. AWS drives the engineering on our capacity delivery projects. This unique vantage point allows the Design Managers to maintain a close connection with project details and drive project outcomes. You will have impact on the design direction and ability to improve design delivery for all APAC projects, while establishing design procedures and protocols for the development of future systems. This role is an opportunity to collaborate with many facets of the AWS organization, external engineering resources and regulatory agencies.

Key job responsibilities

• Leading a team of engineers in the design of data center critical infrastructure systems
• Facilitating weekly meetings with internal engineer resources, internal customers and external consultants to address design issues, meet design milestones and escalate as needed.
• Driving process improvements.
• Creating and tracking metrics related to cost, quality and duration of design as well as collecting data from construction and commissioning teams as designs are implemented.
• Establishing capital project design budgets and contributing to complex business cases for existing region and new region deployment.
• Collaborating with AWS finance teams to secure funding for projects.
• Working in partnership with AWS Engineering leads to schedule engineering resources and influence design changes based on internal customer needs.
• Partnering with internal customers to establish project scope, schedule and deliverables.
• Managing document controller’s workflow and audit of deliverables