Responsibilities:

• Collaborate closely with local Business Development (BD)/Account Managers and Presales teams to deliver projects effectively, utilizing consultative approaches and CMI’s products and services to meet prospect requirements.
• Partner with customers to achieve project milestones, address sales obstacles through innovative solutions, and coordinate post-sales activities.
• Lead and inspire project team members, partners, and suppliers to ensure the successful and timely delivery of network and ICT solutions, improving customer satisfaction.
• Develop comprehensive project plans, detailing project definitions, technical design specifications, quality standards, resource allocation, and budgets from development through testing, acceptance, and maintenance.
• Conduct product training sessions and oversee project handovers to relevant team members and customers.
• Assist in the creation of project plans, timelines, and objectives.
• Maintain accurate project documentation, including schedules, budgets, and progress reports.

Requirements:

• Bachelor’s degree in Project Management or a related field.
• Ability to perform well under pressure and meet tight deadlines.
• Proficiency in project management tools and software.
• Hands-on project management knowledge and experience in data centers and low-current systems.
• Strong communication and problem-solving skills.
• Technical background with familiarity in network architecture, server management, virtualization technologies, and the configuration/maintenance of common operating systems (e.g., Linux, Windows).

Interested candidates, who wish to apply for the advertised position, please apply now for the below role
We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY SINGAPORE PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Job Overview

• Analyst for regional IT solutions for Data & Process Analytics Systems
• The analyst is responsible for the regional supervision and the further development of global IT Data & Process Analytics systems according to the Getinge Group IT strategy and the requirements of the regional business stakeholders.
• Supervision and development of the regional key user community of Data & Process Analytics in APAC & MEA
• Management of communication between global IT organization and regional business stakeholder
• Escalation management with global IT support organization

Duties & Responsibilities:

• Technical support and consulting for internal customers/ power users for Data & Process Analytics Systems.
• Develop and execute key and power user trainings for Data & Process Analytics Systems.
• Development of IT concepts and proposed solutions.
• Customer support for technical questions and support topics.
• Analysis of business processes and planning their optimization and adaptation.
• Project Management.
• Data modelling and testing support.
• Manage and guide assigned external resources

Requirements:

• Degree in business, information technology or other relevant disciplines
• More than 5 years’ experience Data & Process Analytics Systems in an international company
• Technical Skills:

_Strong understanding of data warehousing and data modelling concepts.

_Expertise in data visualization tools, preferably Power BI.

_Experience with Microsoft Azure.

_Coding experience with SQL and DAX.

_Data modelling and report development.

_Requirements gathering and support tasks.

• Business experience building reports using SAP ERP and/or SalesForce as source applications
• Strong written and oral communication skills in English and Japanese
• Broad understanding of business processes across sales, service, finance, and logistics
• Strong analytical and creative problem-solving skills (Game Changer & Forward Thinker)
• Ability to work independently and as part of a team (Team Player)
• Strong communication and presentation skills
• Willingness to travel to international project locations when required.

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

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Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

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About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

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Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

---

Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming business.

---

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Engineers to join their expanding team!

Location: Tampines

Working hours: Monday to Friday, Standard Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Oversee new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma or Degree in Building / Facility Management or any other related field
• Min. 1 year relevant experience in Data Centre facility management and vendor management
• Good knowledge in building technology, mechanical and electrical services and facilities management
• Project management is preferred

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Must have experience in backup power and data centres.

Willing to travel around SEA region.

Responsibilities:

• Sales Strategy and Growth:Develop and execute strategic sales plans to achieve revenue targets, manage P&L, and expand market share in Singapore, Malaysia, Indonesia, and other Southeast Asian territories. Identify growth opportunities, create market-entry strategies, and set objectives that align with our sustainability and modular infrastructure focus. Lead complex sales cycles in mission-critical sectors, including data centres, government, healthcare, and commercial industries, leveraging expertise in integrated power protection solutions.
• P&L Management: Assume full responsibility for the offices’ P&L, including revenue generation, cost control, and profitability. Develop budgets, monitor expenses, and implement strategies to optimize financial performance. Prepare and present P&L reports to management, identifying areas for financial improvement and operational efficiencies.
• Regional Leadership and Market Development: Lead and oversee sales operations in the Singapore office and manage regional sales activities in Malaysia and Indonesia. Establish and foster relationships with key stakeholders, including clients, channel partners, and industry influencers to enhance market positioning. Collaborate with cross-functional teams (e.g., project, engineering, product management) to align offerings with regional needs and promote customized power solutions.
• Client Relationship Management: Act as the primary point of contact for clients, ensuring exceptional service delivery and strong client satisfaction. Guide clients through the complexities of infrastructure design, installation, and maintenance, positioning the company as a trusted advisor for sustainable power protection solutions. Conduct regular business reviews with clients to identify additional needs and foster long-term partnerships.
• Team Development and Leadership: Build and mentor a high-performing sales team across regional offices to drive productivity, achieve sales goals, and uphold our commitment to excellence. Provide training and development for sales staff, fostering a culture of continuous improvement and knowledge sharing. Lead by example, working closely with the sales team on quotation creation, submission, negotiation, as well as wining and closing deals.
• Sales Forecasting and Reporting: Monitor and report on sales and financial performance, providing data-driven insights and recommendations to the management. Ensure accurate sales forecasting, pipeline management, and P&L accountability to support strategic planning and resource allocation.
• Expansion and Innovation: Identify and evaluate new business opportunities in untapped Southeast Asian markets, developing entry strategies to achieve revenue growth.

Requirements:

• Bachelor’s degree in Business, Engineering, or a related field;
• 10+ years of experience in B2B sales, with a strong background in electrical equipment & power solutions sales in data centres will be highly preferred.
• Proven track record of achieving sales targets and managing P&L within regional sales operations.
• Excellent knowledge of power protection technologies (e.g., DRUPS, UPS, diesel generators, modular power infrastructure solution).
• Strong financial acumen, with the ability to develop and manage budgets and P&L.
• Ability to travel across the region as required.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to ref45(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Rachel Tang Sue Leng

EA Personnel Reg No: R24121588

Job Descriptions:

• Support the current state and help develop the future of EiM school’s academic systems, working closely with the Chief Innovation Officer.
• Be a key contributor to developing and communicating a compelling vision and roadmap to stakeholders across all in scope schools
• Lead and grow a team of talented systems managers and data base admins across the Group
• Contribute to a data-wise culture at all levels of the organisation
• Lead relevant elements and implementation of key digital transformation initiatives across our global network of schools
• Drive the development and optimization of our in school application layer
• Be a key stakeholder and SME in the continuous development of a range of academic and business intelligence reports and analytics initiatives, providing guidance and insight to critical academic components and data sets.
• Champion a data-driven culture that empowers educators, enhances student outcomes and supports business functions at school and Group levels, especially when Functional data interacts with academic systems data.
• Support EiM’s existing data governance structures and contribute to the next level of maturity
• Partner with our cybersecurity team to ensure safe, secure and ethical handling of data within all systems in scope
• Lead remote teams and allocate resources effectively across multiple schools/business units
• Ensure that service levels are of the highest standards
• Use success metrics and KPIs appropriately to drive continuous improvement
• Seek out and oversee vendor and partner relationships to enhance Group objectives
• Craft and manage a budget suitable for delivering the information systems roadmap
• Drive automation and efficiency leveraging RPA/DPA approaches
• In partnership with Legal and Cyber teams, ensure compliance with multi-regional data protection regulations for in scope systems
• Design and deliver training to stakeholders in order to maximise the value of the tools and data available to them

Requirements:

• Proven experience in IT leadership roles, preferably in education or multi-unit organizations
• Experience with data governance and cybersecurity
• Deep proficiency with educational technologies and systems (iSAMS in particular)
• Some knowledge of enterprise business software would be an advantage.
• Strong knowledge of database and integration technologies
• Competence with the fundamentals of API architecture, including its components, common types, and key practices for building efficient and secure APIs.
• Experience with cloud computing and data platforms like Microsoft Azure and Microsoft Fabric an advantage
• Strong knowledge of K-13 curriculum and assessment frameworks like IB Diploma, IGCSE, A Level is key
• Experience with Microsoft Power Platform and specifically Power Automate an advantage
• Familiarity with current data protection standards and practices
• Project management expertise, including change management and resource allocation across multiple parallel workstreams under pressure
• Budget management and vendor management and negotiation skills
• Ability to lead a diverse and remote team effectively

Responsibilities:

• Understands the commercial cost/financial/budget impact of decisions to be taken, for any products/solutions to be developed, considering the overall impact to a customer proposal and recommending the appropriate solutions
• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.
• Design of solution offerings including services, support, training (classroom, roundtables, webinars). Detail definition of Solution Components, Scope of Work, Deliverables, Effort Sizing and Pricing.
• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.
• Work closely with the Sales team to provide full presales assistance in support of the successful achievement of sales targets while adhering to cost of sales objectives
• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.
• Achieving reliable, timely and high-quality design and deployment work.

Requirements:

• University Degree in Computer Science or Computer Engineering or related field.
• At least 2 years’ experience in major IT Integration
• Minimum 2 years of hands-on experience as a consultant with pre-sales and implementation experience.
• Minimum 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.
• Wide expertise of ICT field and systems, network, storage, virtualization, and/or security.
• Experience in building and migrating applications, software and services.
• Direct experience with Cisco routing/switching, wireless LAN controller, software defined Network, Load balancer (Netscalers).
• Knowledge of Competitive Products & Technology.
• In-depth knowledge of Implementation methodologies and best
  practices.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to vivian(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Vivian Chung Fhui Tiin

EA Personnel Reg No: R22106436

Job Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development
• Overseas process development support for short term assignments

Job Requirements:

• Masters or PhD in relevant field, Computer Science, Data Science or Statistics Applied Sciences
• Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lee Jun Siong (Johnson)

EA Personnel Reg No: R24120242

[Order Number: 830450]

Mon-Fri, 9:00 - 18:00

Hybrid Working Arrangement

Familiar with Data security/Data protection

Responsibilities

• To conduct compliance check for functions involving Post-IA, Job Placement, Job Retention and offload checks to ensure that all procedures are complied
• To conduct historical data and referral report compliance check
• To maintain and submit Quality Assurance Reports
• Creating and updating Standard Operating Procedures.
• Involved in Committee Meetings with external partners, comfortable in taking minutes.
• To review established work procedures (workflow) with the aim to improve overall processes.
• Assist in system updating of client’s records.
• Involved in ad-hoc projects/task assigned by superior

Requirements

• Candidate must possess at least a Diploma
• Candidate must have at least 2 years of experience in data auditing & data compliance

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin

EA Personnel Reg. no.: R2197913

EA License no.: 07C5771

Your new company

This is a multinational IT services firm.

Your new role

• Develop strategies and actionable insights while working with regional and multinational customers with businesses spanning across Asia Pacific (APAC) markets.
• Help create forward-thinking and data-driven points of views, narratives, and business pitches to support client/partner business. Help clients/partners understand and reach their consumers using industry, marketing, and/or third-party research.
• Ability to influence an audience by crafting points of views (POVs) using data that elicits empathy or creates buy-in, and partner with, orchestrate, lead, and influence clients, partners, and/or service providers as a trusted advisor.
  

What you'll need to succeed

• Bachelor's degree or equivalent practical experience.
• Ability to manage large and complex data sets with analytical mindset and knowledge across all value chains of data (e.g., pull strategic insights, extract and clean data).
• 5 years of experience in retail, Consumer Packaged Goods, banking, technology/startups, or consulting.

What you'll get in return

• Ability to manage large and complex data sets with analytical mindset and knowledge across all value chains of data (e.g., pull strategic insights, extract and clean data).
• 4-5 years of experience using SQL
• Excellent communication and stakeholder management skills.

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Shabnam at Hays on +65 60271964 or email [email protected] for a confidential discussion.

Referrals are welcome.

Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D

Responsibilities: 

• Data Governance Policies and Standards: Establishing clear policies, standards, and procedures to ensure consistent and high-quality data across the organization. 
• Data Quality Management: Monitoring and assessing data quality through processes such as profiling, validation, and cleansing. Collaborating with data owners and stewards to define and enforce data quality standards promptly. 
• Data Classification and Security: Classifying and labelling sensitive data elements and collaborating with security and compliance teams to enforce data protection policies. Implementing and monitoring access controls to ensure data security and confidentiality.
• Stakeholder Collaboration: Working closely with internal stakeholders from cross-functional teams to understand data requirements and business processes. Acting as a liaison between business and technical teams to promote a collaborative approach to data governance.
• Data Compliance and Auditing: Ensuring compliance with relevant data protection regulations, industry standards, and internal policies. Conducting regular audits to assess adherence to data governance policies and recommending improvements as needed. 
• Data Visualisation: Build and implement data visualisation of reports and dashboards for management and business users. Create summaries and reports highlighting key findings with a focus on market dynamics and industry trends.

Job Requirements

• Bachelor's degree in a relevant field (e.g., Information Management, Computer Science, Business Analytics).
• Proven experience in data management, or a related role.
• Strong understanding of data quality and data classification concepts.
• Familiarity with data protection regulations and industry best practices.
• Excellent communication and interpersonal skills, with the ability to work collaboratively across departments.
• Familiar with data visualisation tools.
• Analytical mindset with attention to detail and problem-solving skills

Applicants who are keen to apply, pls send your resume to : [email protected]

Data Governance Analyst
Regional Financial Crime Division – APAC Data Governance
MUFG Bank, Ltd

MUFG is seeking a Data Governance Analyst to support the Global Financial Crimes Data Governance program. This role will be instrumental in operationalizing Data Quality Monitoring (DQM) initiatives, improving existing processes, and supporting the strategy and objectives set by the Global Financial Crime Division in Tokyo. The successful candidate will work within the Regional Data Governance team in Singapore to ensure data quality and governance standards are met across the Asia region.

Job Responsibilities:

Governance

• Perform Data Governance BAU activities applicable for the APAC region.
• Review and maintenance of DG Policies & Procedures and Manual.
• Organize Regional and branch working groups, prepare material, and socialize.
• Coordinate and guide FCC teams to right project artifact and teams.
• Document and track action items arising out of from regional and global forums.
• Implement & execute tasks related to Data Governance controls such as Change Management, Periodic Assessments, Data Quality Monitoring, prepare, review KDE, DD, DS etc.
• Assess and escalate any data quality incident identified through Data Quality Monitoring or other DG controls.
• Understand in detail key components of a Data Quality Monitoring system (Data Dictionary, Key Data Elements, Data Lineage, Data Quality business rules.)
• Provide support in creation of monthly and weekly reports/ status updates for regional and global forums on Data governance.

Data Quality Monitoring

• Assist in the Operationalisation of Global DQM program in region. Data Profiling review and analysis
• Execute DQM daily BAU tasks. Analyse weekly/monthly Data Quality (DQ) error reports and categorise DQ errors across different branches within Asia region.
• Prepare monthly DQ error trend report for each of the branches within the region and regional stakeholders.
• Coordinate with branches in a timely manner to seek responses on DQ errors.
• Assist in the ad-hoc data analysis requests and report generation.

Job Requirements:

• Minimum Bachelor’s degree
• Minimum 1 year of working experience with exposure to banking application in terms of core banking data like Customer, Accounts and Transactions
• Proficiency in Microsoft Excel, PowerPoint and Word. Excel, PowerPoint, and Word skills are crucial for data analysis, reporting, and documentation.
• Experience on Data analytics tools like Alteryx and / or hands-on Python/R is a plus.
• Strong technical, analytical, and problem-solving skills
• Experience in data review and remediation in FI/Bank environment is highly desirable.
• Ability to work independently with minimum supervision.
• Ability to work flexible hours from time to time due to time zone differences.
• Effective Stakeholder management and good communication skills.
• Strong ability to meet project milestones and manage time effectively.
• Well organised and disciplined in maintaining operations documentation.
• Willingness to take on ad-hoc tasks as assigned from time to time.

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10068361

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Highlights:

• Fortune 500 MNC
• Permanent job opportunity
• Great remuneration & benefits
• Great career progression
• Location: Cental

Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.
• Overseas process development support for short term assignments.

Requirements:

• Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp. (Computer Science / Data Science / Statistics Applied Science etc)
• Programming skills: Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”or email to [email protected] with provided your latest resume in MS WORD format with below information.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Dick Sern (Dick Sern)

EA Personnel Reg No: R22106832

Our client a global financial markets software provider who focus on data related software services and products are looking for a Data Software Specialist to represent them on their client sites. The Specialist will work on new implementations and enhancements of existing software. The products are data solutions for front, middle and back-office environments within banks, asset managers and hedge funds.

Key Responsibilities:

· Working with the Sales and Pre-Sales teams on customer demonstrations of the data solutions products.

· Conduct business analysis of the requirements from clients, translating these into technical solutions.

· Take care of the design and implementation of the products for the client making sure they configured correctly as per requirements.

· You will leverage your MDM or EDM ( Master Data or Enterprise Data) data software experience with the new implementations and the enhancements.

· You will leverage your software development background and hands-on scripting skills in SQL and/or Python.

· Project Manage the implementations and/or enhancements with the help of the Pre-Sales/Post Sales team and Program Managers.

· Provide training and post implementation support as needed.

Key Experience Needed:

5+ Years of IT experience

· You will be coming from a software development and/or data solutions background with hands on experience with SQL or Python Scripting and ideally some data modelling, ETL tools experience.

· Your understanding of Master Data Management (MDM) and/or Enterprise Data Management (EDM) will be excellent.

· Any software development experience with JAVA, C#.NET, C++, or any other languages will be a big plus as you will need to be able to understand the code to write some rules via scripts.

· Be able to conduct business analysis activities, taking requirements, building documentation.

· Have experience with configuration and customizing of data software products.

· Financial markets industry experience and some understanding of asset classes is essential.

· Any experience with financial markets data feeds for example, Bloomberg and Refinitiv is preferred.

· You will enjoy working in customer facing role and so will have excellent communication and stakeholder management skills.

This is a great opportunity to join a global MNC, with a fantastic team, work on exciting market leading data software solutions products with a business that is growing across APAC.

Apply NOW if you want to find out more !

Speak to you soon.

Adam Davies

Partner

Technology 'recruitment & search'

Menrva Group, Singapore

Registered Agent R1326604

Company EA License 19S9808

Company Registration 201900823K

MENRVA PTE. LTD.

• Salary up to $8,000
• 5 days work week (Hybrid)
• Central

Our client is committed to delivering innovative technology solutions. Our team of experts thrives on solving complex challenges and building cutting-edge solutions. You will play a crucial role in defining the architecture of data warehouses, databases, and cloud-based data solutions. We are seeking a talented and experienced Data Architect to join our growing team.

Job Scope:

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R22107887 | Gladys Chang Si Min

PURPOSE

• Being a vital member of the GO Data monetization team to support and contribute to the overall Smart Insurance and Data Monetization Strategy
• Champion and drive customer acquisition, retention, cross-sell and upsell campaign across markets.
• Drive customer engagement initiatives to achieve the collective Data Monetization target set for all markets.

KEY ACCOUNTABILITIES

• Champion and drive data-driven marketing initiatives and efforts across markets. Key initiatives include Leads Acquisition, Retention and Up-sell & Cross-sell campaigns and initiatives.
• Plan, creates and implement customer-centric and data driven GO Signature engagement programme and roll out across markets
• Coach, initiate, define and support CVM activities using data and AI; drive effective demand generation programme at scale.
• Handle data and analytics comfortably and relate them to qualitative aspects of work.
• Generate insights into customer segments for data monetization campaign planning.
• Review campaigns tracking results and propose next step.
• Benchmark market standards, share best practices and provides feedback and suggestions to countries to improve local campaigns and support implementation.
• Liaise with key and senior stakeholders to maintain an evolution of information needs.
• Ensure adherence to all data governance standards as determined by regulators

QUALIFICATIONS / EXPERIENCE

• Bachelor/Master degree in a relevant field (digital marketing, CRM, loyalty or data analyses.)
• Min 5+ years’ experience in a similar field.
• Analytical, strong database management and resourceful.
• Good communication and interpersonal skills.
• Proactive and able to work in a fast-pace environment.
• Understanding of Customer Experience Management.
• Positive attitude.
• Able to travel

KNOWLEDGE & TECHNICAL SKILLS

• Familiar with customer centric marketing, customer insights, marketing campaign best practises and other enterprise marketing strategies.
• Know the business to appreciate and understand the value of the data to monetize it
• Familiar with Salesforce Marketing Cloud or other marketing automation platform preferred but not a must.
• Ability to create great presentations with strong narratives.

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Job Responsibilities:

• Promote and sell surgical devices and hospital supplies represented by the company

• Identify and increase opportunities in target markets

• Consistently keep updated on product, market and competitor knowledge

Job Requirements:

• Degree, with a minimum of 1-year marketing/sales experience

• Experience in medical device/pharmaceutical sales will be an advantage

• Possess a Class 3 driving license and preferably owns a car

• Willing to travel for work purposes

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Working Location: Labrador Park

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Rotate through various departments to gain hands-on experience in operations, marketing, finance, and more
• Participate in leadership training programs to enhance your management skills and prepare for future leadership roles
• Assist in managing key projects and initiatives, ensuring their successful execution from start to finish
• Analyze business performance, identify opportunities for improvement, and present recommendations to senior leadership
• Work with diverse teams across the organization to drive strategic initiatives and enhance operational efficiency
• Engage with clients, partners, and stakeholders to understand business needs and deliver value-added solutions
• Conduct research to identify market trends, customer preferences, and industry best practices to guide decision-making
• Receive mentoring and guidance to fast-track your career and transition into a full-time management role upon completion of the program

JOB REQUIREMENTS

• Minimum Diploma and above
• Demonstrated leadership skills through academic, extracurricular, or professional experiences
• Strong analytical and problem-solving skills with the ability to think critically and creatively
• Good verbal and written communication skills, with the ability to engage with senior management

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Labrador Park

Working hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Manage calendars, schedule meetings, and handle correspondence for executives
• Maintain and organize business documents, reports, and records efficiently
• Assist in coordinating and tracking the progress of projects to ensure timely delivery
• Conduct research on industry trends and competitors, providing insights to support business decisions
• Act as a liaison between clients and the business, ensuring smooth communication and relationship management
• Help organize business meetings, conferences, and events
• Support expense tracking, invoicing, and budget preparation
• Address and resolve minor business issues or escalate them when necessary

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong multitasking abilities with excellent attention to detail
• Familiarity with Microsoft Office Suite and other business tools
• Excellent written and verbal communication to interact with clients and team members effectively

EA Reg. Number: R21100629

EA License Number: 22C1278