Overview:

Our Esteemed Healthcare client is seeking an Senior / Executive for their Data Protection Office. Successful candidate will be part of the team to implement initiatives in strengthening data protection and privacy in the organisation and ensure compliance with national legislations and organisational policies.

Job Description:

• Ensure compliance with data protection policies and procedures.
• Guide stakeholders on managing data breaches per regulations.
• Assess data management for potential protection risks.
• Respond to data requests and improve data management practices.
• Conduct audits and ensure data protection integration in processes.
• Create reports and presentations for stakeholder education.
• Present data protection updates in briefings and discussions.
• Address internal and external queries.
• Stay updated on data protection laws and best practices and support departmental operations and projects as needed.
  

Job Requirements:

• Bachelor’s degree in any discipline. Data Protection / Governance / IT related preferred
• Minimum 1 year of relevant experience in healthcare and/or in data protection, compliance, audit or legal work
• Proficient in IT systems, applications and/or AI
  

For candidates with more working experience, they may be considered for more senior position

If you are ready to take on a challenging yet rewarding role in clinical operations, please send in your resume in Microsoft Word format by clicking “Quick Apply”

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.We regret to inform that only short-listed applicants will be notified.

Carol Tan Choon Gek (Chen Chunyue)

Registration number: R23113984

EA Licence No: 12C6253

The Louis Dreyfus Company Internship Program 2025 is a six-month program that provides students an opportunity to gain hands-on experience in commodity trading industry. The program is designed to equip interns with foundational knowledge and professional skills in one of the company’s business platforms.

As a Data Scientist, Systematic Trading Intern, you will be introduced to and become an integral part of our Data Science, Systematic Trading team. You will work with experienced professionals in Data Science, Systematic Trading team and interact with colleagues to gain insight into the commodity industry. You will be given the opportunity to collaborate with various stakeholders to develop your own sense of the working environment in the business platform.

In your role, you will leverage your expertise in Python programming, ETL processes, and cloud-based DevOps to enhance our data infrastructure and software development practices used for trading. Your contributions will be key in supporting our systematic trading activities, and overall, our data-driven decision-making processes. Your work will allow us to empower our trading platforms with robust data solutions, crucial for developing and optimizing profitable trading algorithms. You will also face the exciting challenge of structuring complex and large financial time series data, ensuring our trading strategies are informed by accurate, high-quality data.

Internship duration:

• Between Jan to June 2025

Main Responsibilities:

• Review cutting-edge research papers on (Gen) AI to apply them to systematic trading activities
• Assist in the development and maintenance of ETL pipelines, focusing on the data requirements of our systematic trading projects
• Help manage complex financial time series data, like Futures contracts, to ensure the trading strategies are based on accurate data
• Support the creation of software solutions in Python, emphasizing scalability, performance, and reliability
• Contribute to automating and scheduling workflows to improve operational efficiency
• Collaborate with data scientists and trading teams, understanding their data needs and assisting in providing technical solutions for effective data analysis and strategy implementation
• Engage in code quality improvement through strong CI/CD practices, automated tests, and peer reviews

Requirements:

• Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Information Systems, Quantitative Finance, Engineering or a related field
• Technical Skills:
  • Proficiency in Python for data manipulation, visualization, and dashboard development
  • Familiarity with Scheduling Tools, and Machine Learning Operations principles and practices
  • Willingness to learn software development best practices
  • Knowledge of data cleaning techniques and best practices
  • Interest in ETL processes, data modelling, warehousing
• Analytical Mindset:
  • Ability to analyze complex data sets and derive meaningful insights
  • Strong problem-solving skills
  • Attention to detail
• Communication Skills:
  • Excellent verbal and written communication skills
  • Ability to explain technical concepts to non-technical stakeholders
• Other Skills & Knowledge:
  • Willingness to work both independently and collaboratively in a team environment
  • Interest and knowledge in economics, finance, systematic trading, or agricultural commodities sectors, is a plus

We're looking for an experienced Consultant with technical expertise to provide guidance in our customers' zero trust journey and build our practice.

Reporting to the Data Protection Competency Tower, you will :

• Be a customer's 'Go-To' resource for all matters related to their SSE deployments
• Deliver best practices guidance for managing SSE deployments
• Have outstanding customer communication and problem-solving skills
• Have experience in working with customers, demonstrating problem-solving skills and a can-do attitude

What We're Looking for (Preferred Qualifications)

• 8+ years' experience for this role in similar positions (Professional service consultant, Network/Security specialist, Technical Account Manager)
• This role is primarily an individual contributor position without managerial responsibilities. However, as an IC, you are expected to play a crucial role as a team player, collaborating effectively with colleagues to achieve common goals.

What We're Looking for (Minimum Qualifications)

• 5+ years' experience for this role in similar positions (Professional service consultant, Network/Security specialist, Technical Account Manager, Support/Escalation Engineer or a SOC Engineer).
• This role is primarily an individual contributor position without managerial responsibilities. However, as an IC, you are expected to play a crucial role as a team player, collaborating effectively with colleagues to achieve common goals

What Will Make You Stand Out (Preferred Qualifications)

• Experience in Network and Security solutions and customer facing/field roles
• Experience with the following solutions (Gartner Magic Quadrant SSE Leaders): Netskope, Palo Alto Networks, Zscaler

We are hiring a part time or full time adminstrative clerk.

Responsibilities

· Attend to walk-in customers, incoming phone and email enquiries

· Communicate and coordinate with customers in ensuring prompt follow-up and closure for all enquiries

· Process class registrations, invoice and payment receipts

· Correspond with existing customers through phone, text messages and emails

· Coordinate with external vendors and suppliers

· Perform a variety of administrative duties in support of the day-to-day operations

Requirements

· Able to speak ,read and write Chinese words

· Proficient in MS Office applications

· Applicants with experience working in tuition or enrichment centres have an added advantage

· Able to work on weekend but exclude public holiday

· Minimum O levels or equivalent

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

Summary:

• The successful candidate will be involved in the data management aspect for the enterprise data distribution channel in Data Strategy Group.

Responsibilities:

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.
• Design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Identify opportunities for continuous improvement in assigned area of work.
• Possess a degree with at least 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

Requirements:

• Possess a degree with at least 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Job Summary:

• Industry: Healthcare
• Working location: Woodlands
• Employment type: Permanent, full-time

Job Responsibilities:

• Work with stakeholders within the organisation, external healthcare institutions, and external entities to explore and identify opportunities to leverage data in driving business solutions.
• Support organisational reporting and dashboarding roadmap implementation.
• Apply Data Analytics and Operations Research knowledge to transform data into insights to drive optimisation and improvement of business strategies.
• Develop data processing automation through programming and other tools such as Robotics Process Automation to improve productivity.
• Participate in strategy formulation to enable and catalyse the department in meeting its KPIs.
• Maintain current organisational Enterprise Data Warehouse and plan for re-platform to future Data Lake to enable stakeholder access to accurate and high-quality data for analysis and reporting.
• Be responsible for the operationalisation of the Data Exchange Office (DXO) to handle internal and external data requests and perform Trusted Third Party (TTP) Data Anonymisation when required.

Job Requirements:

• Bachelor's degree in the field of Mathematics, Statistics, Computer Science, Software Engineering, Economics, Business, Data Science or a related field
• Proficient with real-life applications of analytics, dashboarding and reporting languages and software such as Excel, R, Python, Tableau, VBA, HTML, JavaScript, SQL, etc
• Working experience in healthcare-related industry and held a role in Business Intelligence, Systems Integration, Data Warehouse Management, Data Science or Data Engineering related areas.
• Strong analytical, communication and problem-solving skills
• Ability to perform and complete stretched tasks within tight deadlines
• Good knowledge of hospital operations

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.

• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

Qualifications:

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.
• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

Job Description:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

We are seeking an experienced and skilled Procurement Manager to join our dynamic team. In this role, you will be responsible for sourcing required materials, services and suppliers in both domestic and international markets. You will play a critical role in managing procurement activities, ensuring cost efficiency, and maintaining compliance with procurement policies and procedures.

Job Responsibilities

• Source for required materials, services, and suppliers in the domestic and international market.
• Understand purchase requirements and source accurately and efficiently.
• Identify and engage with global prospective suppliers to foster beneficial relationships.
• Understand market trends and seek to improve cost efficiency.
• Perform daily procurement activities such as RFQ/RFP, negotiation of commercial terms, quotations evaluations and recommendations.
• Coordinate procurement related matters with requestors and vendors.
• Prepare and conduct tender process.
• Propose new vendors and evaluate existing vendors.
• Contracts management.
• Working with legal counsel to review and prepare contractual documents.
• Address procurement related queries from internal management and stakeholders.
• Develop and implement procedures and processes, based on best practices, to ensure smooth and streamlined process.
• Ensure compliance with procurement policies and procedures.
• Other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

Job Requirements

• Degree in Supply Chain Management, Procurement, Quantity Surveying, Business, Engineering, or a related field.
• A minimum of 7 years of relevant experience, preferably in a Procurement Department within the Construction, Data Centre, or Network industry.
• Strong knowledge of SAP MM (Materials Management).
• Exceptional interpersonal and communication skills.
• A proactive team player who can work collaboratively to achieve organizational goals.
• Capable of working independently with strong negotiation skills.
• Detail-oriented, analytical, and possesses excellent problem-solving abilities. Excellent team member, proactive in managing issues and possess sense of responsibility and ownership in his/her work and results.

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

​​​​​​We are looking for a skilled and seasoned Data Director to join our team and lead the development of data-driven solutions. Your primary responsibility will be to build a high-performing team that is dedicated to delivering innovative and effective solutions that meet our customers' needs.

• Develop and implement advanced data-driven solutions to address complex business challenges.
• Lead a team of data scientists and analysts, optimizing campaign performance.
• Champion campaign effectiveness and drive the development of data-driven strategies.
• Build team morale and motivation by recruiting, coaching, and supporting team members to achieve excellence.
• Act as a thought leader, initiating programs to advance team skills and knowledge.
• Advocate for the use of consumer analytics within the agency and play a pivotal role in representing the data team during business pitches and presentations.

•  
• Take the initiative and ownership of projects and clients
• Understand and document the business requirements of our clients
• Propose technology stacks and solutions that meet client needs
• Design and architect to appropriately safeguard data security, data integrity and data privacy
• Build schemas and data transformations that are optimized for the client’s use cases and query patterns
• Write queries and tests to establish performance metrics and profile outputs for the client’s use cases and query patterns
• Guide and mentor other team members with matters related to both business and technical requirements, as well as create and publish best practices, methodologies and guidelines
• Understand and account for tradeoffs in performance, usability, accuracy, integrity of data
• Deliver clear, well-communicated and complete design documents
• Defend and convince clients of the validity and merits of our solutions
•  

Primary Objective:

1. To support growth and boost Treasury’s Revenue and Franchise growth
2. Responsible for conducting regular KYC/due diligence/AML/Related/Connected Party for Treasury
3. Key data manager to ensure all data related to FIs & Issuers are maintained accurately in systems.
4. Maintain relationships with Correspondent Banks and to identify business opportunities, to promote cross referral businesses.
5. Market to foreign/domestic correspondent banks to grow Treasury’s business/product lines
6. To support Correspondent Banking Relationship including Nostro/Vostro Accounts, and enhance existing business arrangements.
7. To assist Group FI in Singapore Branch’s FI relationship with Global Banks
8. To assist Treasury in building relationship to obtain stable funding & issuance programs
9. To provide new FI solutions/products to Treasury/Branch
10. Any other ad-hoc duties or projects as assigned by superior / Head of Treasury

Key Responsibilities:

Data & KYC Officer

1. As key officer for on-boarding of Treasury FIs/NBFIs, to perform all required initial KYC, Due Diligence, AML, related party & other required screenings.
2. To diligently perform regular KYC, Due Diligence, AML and related reviews for Treasury’s FIs, NBFIs & Issuers.
3. Data officer for all Treasury FIs/NBFIs/Issuers static data, to perform static data maintenance & review.

FI Relationship Management

1. To work in collaboration with Group FI in managing a network of FI relationship that is instrumental to revenues generation and expense controls.
2. Maintain regular close relationship or communications with FIs & NBFIs for products, business opportunities and dealing lines/relationship.
3. To liaise with GFI in annual review of lines and increase the counterparty banks lines for Singapore.

Financial Perspective

1. Cross sell of existing Treasury/FI Products to generate and increase revenue
2. Assist with Bank’s NCD program and eMTN issuances and other funding sources
3. Support the Department/Division Head in the delivery of banking services to meet the Department/Division’s revenue targets. 

FI Support and Advisory

1. Provide support /advisory role Treasury and Branch on queries relating to international FI business
2. Provide FI solutions and support from agent banks for their international payment, trade and treasury support requirements

Customers / Client Coverage

1. Build and maintain effective relationships with correspondent banks/NBFIs that enhances service delivery for Treasury
2. Develop and maintain strong stakeholder management with key stakeholders both internally and externally
3. Involved in negotiation with correspondent banks on matters with regards to services fees and pricing, as well as seek solutions to finalize new/potential business transactions.
4. Develop and maintain strong stakeholder management with key stakeholders both internally and externally

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

•  Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities .

• Proven 4+ Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

We are seeking a talented and experienced Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

Responsibilities:

·        Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

·        Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

·        Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        Ensure data quality and integrity throughout the data processing lifecycle

·        Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

·        Optimize data engineering workflows for containerized deployment and efficient resource utilization

·        Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

·        Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

·        Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

·        Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

·        Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

Are you passionate about data and eager to make a real impact? We're looking for a motivated Data Scientist to join our driven, fun, and fast-paced team at Funding Societies! This is a fantastic opportunity to collaborate with seasoned experts, sharpen your skills, and contribute to projects that shape the future of our business. If you're ready to dive into data, build models, and learn every day, this role is for you!

What you will do:

Model Development and Analysis:

• Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more.
• Support the calibration of model parameters and the optimisation of business logic.
• Ensure models provide meaningful, actionable insights that help drive key business decisions.

Data Exploration and Insights:

• Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes.
• Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders.

Model Infrastructure and Automation:

• Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models.
• Participate in automating workflows for tasks like model training, validation, and monitoring.

What we are looking for:

• 1-3 years of experience in data science or related fields.
• Proven experience as a model developer in machine learning and statistical analysis projects.
• Familiarity with programming languages like Python and SQL.
• Interest and experience in fintech and credit modelling is a bonus.

Others:

• Strong analytical mindset with attention to detail and a problem-solving attitude.
• Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning.
• Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Construct Future-Generation Data Systems

• Collaborate with diverse teams to establish and guide the roadmap and architecture of data infrastructure.
• Conceptualize, design, and develop a scalable and maintainable data pipeline encompassing data warehousing, data integration, and ETL processing.
• Create documentation related to software development, design, test cases, user training, and release.
• Lead or participate in bespoke data integration projects involving internal data systems and/or external subcontracted manufacturing and logistics systems.
• Work with SMAI/IT architectures/teams to plan and prioritize infrastructure delivery, ensuring processes and deliverables are aligned with the roadmap.
• Work alongside backend developers to define API specifications (e.g., REST services)

Ensure High-Quality Operational Data

• Set up best practices and tools for software development to uphold data integrity, perform cleanup, and validate across all pertinent data sources.
• Facilitate ongoing improvements in data quality to minimize support requirements.
• Establish centralized logging and monitoring systems equipped with logic for generating usage reports and conducting audits.
• Work in conjunction with IT to guarantee efficient processes for incident management, problem resolution, and change management.

Design and Implement Data Analytics

• Develop comprehensive business analysis that identifies challenges, opportunities, and potential solutions for the business. Project management and planning.
• Engage with extensive and intricate data sets to address a broad spectrum of business issues using various analytical and statistical methodologies.
• Resolve intricate optimization challenges utilizing optimization techniques.
• Create and standardize data science solutions within a production data pipeline.
• Ascertain statistical validity and significance, conduct statistical analysis to guide data-driven decisions, and identify anomalies, trends, and shifts.

Create Contemporary Visualization Solutions and Web Applications

• Develop web application and automate the needs for business reporting.
• Conduct interactive design sessions with customers.
• Utilize experimentation methods and design tests to enhance key user experiences.

Qualification:

A bachelor’s or master’s degree in data science, computer science, or information technology.

Minimum of 3 to 5 years of professional experience in the following areas:

• Software application (.NET or Java) and web application development (preferably Angular) and familiarity with JavaScript
• Business analysis and project management– assess processes, determine requirements, and deliver data-driven solutions to stakeholders
• Proficiency with business intelligence solutions (Nifi, Tableau, or Microsoft Power Platform)
• Comprehensive knowledge of relational databases, table and schema design, dimensional data modeling, SQL query and query optimization, and familiarity with database management systems (Microsoft SQL, HANA, or Snowflake)
• Understanding of the Agile development process
• Strong foundation in machine learning, statistical analysis, and data modeling.
• Outstanding problem-solving skills, with the ability to multitask and manage multiple projects concurrently.
• The ability to work in various areas of a development lifecycle, either as part of a team or independently.
• Self-driven, with a strong sense of ownership and the ability to work autonomously with minimal supervision.
• Effective communication skills, capable of presenting complex concepts and findings to both technical and non-technical stakeholders.
• High attention to detail, with a focus on data accuracy and quality.
• A team player who has experience working on projects with global stakeholders.
• Knowledge of the Manufacturing Execution System, SAP enterprise master data, and an understanding of logistics business acumen would be an advantage.
• Knowledge of capacity modeling, planning, and optimization would be an added advantage.

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 3 - 5 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

OVERVIEW

As a Senior Data Scientist, you will work on enhancing the production of our video games through the use of machine learning algorithms. Your experience in translating complex needs into actionable and your drive to implement efficient and adapted solutions will be essential to fulfilling our vision.

Joining our Singapore Data Team, you will work closely with our data analysts, data engineers and other data scientists. We are tackling a wide range of topics, from creation assistance to game features. You will be working on one or several concrete projects, always tied to a game team.

We are looking for individuals with a strong autonomy who can bring their extensive knowledge and experience in machine learning to help us drive forward our use of technologies like recommender systems and generative AI to craft better experiences for our players.

WHAT YOU WILL DO 

In the first six months: 

• You will have become familiar with the data sources available in a AAA game development environment.
• You will have worked in collaboration with our Data Analysts and production teams to extract data you need.
• You will have built a solid relationship with key stakeholders in the game development teams.
• You will have worked on at least one project and showcased your capacity to identify and propose solutions to complex needs.

After this period, you will be able to: 

• Understand the needs of a game development team, propose and communicate efficiently solutions that use data science tools/pipelines.
• Work in collaboration with colleagues in the Data Team to implement and maintain those tools/pipelines for games.
• Prioritize work that delivers the most value for players and the company.

Job Summary:

• Industry: Healthcare
• Employment type: 6 months contract

Job Responsibilities:

• Processing of high-volume claims.
• Address staff queries and concerns on claim matters.
• To ensure the Key Performance Index and Service Level Agreement are met.
• Any other ad-hoc duties.

Job Requirements:

• Diploma in Human Resource or Business-related discipline.
• Able to manage high-volume activities and handle data confidentiality.
• Able to work under tight timelines and respond to changing priorities.
• Organised, meticulous and proactive.
• A team player with good interpersonal skills.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.

Skillset Requirements

• Degree in IT or related.
• At least 2 years of relevant experience in data management, data analytics, and data engineering user.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in Python, SQL ,Data modelling, ETL,PowerBI etc.
• AI & ML will be good to have.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Fresh Graduates with Intern exp are encouraged to apply