267 Database Platforms jobs in Singapore

Job ID: 39988

Location: Singapore, SG

Area of interest: Corporate & Commercial Banking

Job type: Regular Employee

Work style: Hybrid Working

Opening date: 17 Sept 2025

Job Summary

• Leading the way in International Banking. We support the people and companies driving investment, trade and wealth creation across Asia, Africa and the Middle East. And our heritage and values are expressed in our brand promise – here for good.
• We are currently looking for a Senior Data Analytics & Reporting professional GA to contribute to the data and digitalization projects across Corporate, Commercial and Investment Banking (CCIB).
• The role is at a senior level in the Digital Channels & Data Analytics team of CCIB based in Singapore. Innovative big data and machine learning solutions are a key priority for the Bank as part of investments in creating value-add services for clients, creating or joining new consortiums and enabling new business models. This role is to contribute to the development of data projects.
• Strategic data initiatives in CCIB creates differentiated digital capabilities for clients to access the Bank's transactional services in over 50 markets efficiently and securely. This includes internet and mobile banking for global business clients, direct integration options, as well as services through third parties.
• The role would be suited to a candidate having experiences in data science and analytics field – developing models, rules and algorithms from structured and unstructured sources and performing deep-dive analysis to derive data-driven decisions
• Proven track records in building and deploying (financial services) analytic solutions that have created significant value for customers and additional revenue based on new business models particular focus on using click stream data using Google Analytics suite of tools
• Experience in building dynamic dashboard (eg Tableau, Power BI) for business stakeholders will be an absolute must
• Experienced working in an offshore model is required since role will be based in Bangalore with business stakeholders in Singapore and other overseas locations
• Strong data defining, structuring, labelling and developing data models to capture, store, process and use this data to generate intelligent outcomes through Data Analytics
• The candidate will have a profound knowledge of large data sets, data management, data governance, data science and metadata.
• The role requires close partnership with Cash, Trade, and Security Services Product organisation. Other key stakeholders include global Sales and Implementation teams, Technology, and risk owners such as legal and compliance.
• This role reports to the Data Analytics lead for Transaction Banking

Key Responsibilities

• Help built a strategy & roadmap of analytics solutions that will position Standard Chartered as leading in this field
• Creating effective dashboards for business stakeholders
• Apply and ensure data governance framework.
• Develop and implement artificial intelligence algorithms, rules and rapid prototypes from big data sets that will be fed into various business programs.
• Behavioral segmentation based on client journey, profiles, transaction patterns, and app activities that will lead to highly personalized client insights.
• Design and monitor A/B testing and various engagement activities.
• Perform deep-dive analysis to solve various business problems arising from marketing, dynamic incentive programs, and campaign management.
• Build and automate intuitive dashboards that help visualize and answer complex business problems.
• Managing risks and regulatory issues associated in data analytics solutions.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group's Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank's Conduct Principles: (Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.)
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
• Serve as a Director of the Board
• Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent)

Key stakeholders

• DCS
• Transaction Banking
• DDCP Digital Platforms
• Data Analytics
• Data Commercialization
• Financial Markets
• Operations
• Digital Channels

Other Responsibilities

• Embed Here for good and Group's brand and values in ; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats).

Our Ideal Candidate

• University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting
• 3 plus years working experience in data analytics or business intelligence units, preferably in consultancy or banking (eg Citi, Morgan Stanley etc) or financial industry
• Relevant experience in using data is a pre-requisite.
• Analytical mind with sound business insights
• Ability to translate the business problems and requirements into analytics solutions
• Knowledge of a variety of predictive models, machine learning algorithms and statistical techniques, e.g. logistic regression, decision tree, clustering, neural networks, support vector machines, principal component analytics, natural language processing
• Proficiency across the core statistical toolsets (SQL, SAS, R, Python), data visualization tools (Tableau, Qlik, Power BI) and Hadoop ecosystem
• In-depth knowledge of digital banking, banking products and the overall industry a strong plus.
• Excellent stakeholder management skills.

Role Specific Technical Competencies

• Data Science
• Data Engineering
• Data Monetization
• Statistical Analysis.
• Data Story Building
• Senior Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website

Contract Duration - 12 months

Working hours: Normal Office hours

Working Location - Changi Business Park

Responsibilities

• Performing Customer Data Management in SAP
• Drive process improvements and system efficiency enhancements
• Being an active part of,

o  Processing Customer Data within SAP - MDG following set standards and

procedures and within established Service Level Agreements (SLAs)

o  Troubleshooting, and resolving any discrepancies in Customer Master

information between source systems and the Hub

o  Actively engaging with Cross Functional Business, and IT teams to resolve

Customer Data Management issues

o  Generating Reports and Quality Metrics

Requirements

• Diploma/Degree in Business Administration/Statistics or any discipline
• Min 1 year of experience in managing cross-functional internal customers, with specific experience in utilizing various information management tools
• Have strong analytical skills with ability to learn new technical and non technical processes
• Working knowledge of PowerBI, Tableau, or RPA
• Research or Data Management experience is an advantage
• Added advantage would be if you had hands-on experiences using SAP

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform -

PERSOL Singapore Pte Ltd 
• RCB No E 
• EA License No. 01C4394
• Registration No. R MayThinKyu)

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  You acknowledge that you have read, understood, and agree with the Privacy Policy.

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society. For more information on Singapore University of Social Sciences, please visit

The Manager, Data Management, is responsible for ensuring the quality, integrity, and consistency of metadata across the university's data warehouse and other operational systems. This role involves collaborating with various stakeholders to establish and implement metadata standards, support data governance initiatives and provide training to end-users. Additionally, the Manager will assist in managing data protection and ensuring compliance with the Personal Data Protection Act (PDPA). The Manager will also serve as a primary point of contact for external data inquiries and requests as well as, coordinating with government agencies.

Key Responsibilities

• Metadata Management: Maintain and update metadata across all data systems to ensure consistency, integrity, and quality.
• Standard Implementation: Work with departments to define and enforce metadata standards and best practices.
• Data Governance Support: Contribute to data governance initiatives, supporting the development and enforcement of policies and procedures.
• Data Protection and PDPA Compliance: Assist in managing data protection practices to comply with PDPA regulations, ensuring sensitive data is handled securely and responsibly.
• Stakeholder Collaboration: Serve as the primary contact for external data requests and inquiries, managing relationships with regulatory entities.
• Training and Support: Provide guidance and training to end-users on data management practices, promoting adherence to governance standards.
• Data Quality Assurance: Oversee data quality monitoring processes, identifying and resolving data integrity issues across the university's data systems.

• Bachelor's degree in Information Management, Data Science, Business, or a related field.
• Minimum 2 years of experience in data management, metadata management, or related fields.
• Strong understanding of data governance, metadata standards, and quality assurance principles.
• Proficiency in data governance tools, metadata management solutions, and data quality software.
• Excellent communication skills for stakeholder management and cross-functional collaboration.

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

• Support Wave 2 (APAC) project from a data conversion perspective.
• Responsible for helping the regions extract and transform their legacy data into Workday EIBs- as well as reviewing data for general conformity and alignment to Workday configuration.
• Play a role in data validation as well

Data Management

• Develop and improve data reports
• Maintain accurate alumni engagement data (including by not limited event participation, CET, volunteerism) by working with other departments.
• Fulfil ad hoc data requests within specified deadlines, and update alumni LinkedIn profiles and notable alumni lists,
• Work with the team lead and senior executive on recruitment, training, and supervision of student helpers for Blackbaud CRM data updates.

Data & IT Project Management

• Collaborate with units to improve alumni-related IT services.
• Co-lead and coordinate data/IT projects, and manage technical aspects of the alumni portal. Work with internal and external stakeholders.

Operations & Coordination

• Guide and partner with the senior executive in ensuring CRM data accuracy and managing CRM access requests.
• Support data audits and ensure compliance with data privacy policies.
• Maintain and update standard operating procedures (SOPs)

Requirements:

• Bachelor's Degree in Information Systems/Technology, Data Analytics or other related fields.
• Advanced-level knowledge of Microsoft applications e.g. Excel, Word, PowerPoint.
• Knowledge and skills in data visualizations
• Familiarity with the Personal Data Protection Act (PDPA), data privacy and governance policies.
• Minimum 4-5 years' experience in data and database management, or customer or membership-type platforms/app or IT related-projects
• Experience in managing others e.g. junior staff will be advantageous.

Interested candidates, please email your resume to

Anna See Sing Yee

CEI Reg R

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Senior Data Management Professional - Data Engineering - Company Financials Markets, Singapore

Location

Singapore

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience working with Python in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If This Sounds Like You:

Apply today We'll reach out to discuss the next steps

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidates with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.

About the Role

We are looking for an experienced HR professional to lead a data management team and ensure smooth, accurate, and timely HR processes. This role involves overseeing HR data operations, improving processes, and partnering with various stakeholders to drive efficiency and enhance employee experience.

Key Responsibilities

• Lead and manage the HR data management team.
• Ensure SLAs and KPIs are consistently met and continuously improved.
• Act as a subject matter expert for HR data management processes and compliance.
• Collaborate with cross-functional teams, HRIS, and business partners to deliver seamless services.
• Review and streamline work processes to improve efficiency and employee experience.
• Support additional HR-related projects as assigned.

Requirements

• Minimum 3 years of HR experience, including at least 1 year in a supervisory role.
• Experience in payroll administration (healthcare sector experience is an advantage).
• Proficient in HR systems (SAP SuccessFactors) and MS Office (Excel & Word).
• Strong analytical skills with a keen eye for detail.
• Independent, proactive, and a strong problem-solver.
• Team player who thrives in a dynamic and fast-paced environment.

HOW TO APPLY:

Interested applicants, please send in your resume by clicking "Apply Now".

By submitting an application or your resume, you are deemed to have consented to Dynamic Human Capital Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice ). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

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

Joyce Ng

Dynamic Human Capital Pte Ltd

EA Personnel No: R

EA License No: 12C6253

Company Profile

MIZUHO BANK LTD IS THE BANKING SUBSIDIARY OF MIZUHO FINANCIAL GROUP OF JAPAN, ONE OF THE WORLD'S LARGEST FINANCIAL SERVICE PROVIDERS.

IN 1974, ONE OF MIZUHO'S LEGACY BANK COMMENCED ITS BRANCH OPERATION IN SINGAPORE AND FOR OVER 40 YEARS, WE HAVE A PRESENCE IN SINGAPORE. MIZUHO BANK SINGAPORE BRANCH HOLDS A FULL BANK LICENSE AND PROVIDES BANKING SERVICES TO MORE THAN 2,000 JAPANESE AND NON-JAPANESE CUSTOMERS, OPERATING WITH STAFF STRENGTH OF MORE THAN 700 IN SINGAPORE. ITS PRINCIPAL BUSINESS ENCOMPASSES CORPORATE FINANCE, TRADE FINANCE, CASH MANAGEMENT, FUNDS TRANSFERS, PROJECT FINANCE AND TREASURY. IT ALSO COLLABORATES WITH ITS AFFILIATE COMPANY, MIZUHO SECURITIES, TO PROVIDE INVESTMENT BANKING SOLUTIONS TO ITS CUSTOMERS.

SINGAPORE BRANCH ALSO SERVES AS A REGIONAL OFFICE FOR BANK'S APAC OPERATIONS.

WE ARE SEEKING A HANDS-ON AND PROCESS-ORIENTED DATA MANAGEMENT & GOVERNANCE SPECIALIST TO OPERATIONALIZE OUR REGIONAL DATA STRATEGY.

Job Responsibilities

Data Governance Operationalization:

• Implementation & Rollout: Support development, drive effective implementation and enforcement of Data Governance framework, policies.
• Process Management: Manage the operational processes for Data Quality issue management lifecycle.
• Forum Facilitation: Facilitate and organize Data Governance forums and cross-functional working groups to resolve issues, review data quality metrics, and drive adoption.
• Training & Support: Develop training materials and provide guidance Data Stewards, Data Custodians across the region.

Data Model & Architecture Stewardship:

• Model Custodianship: Act as a primary custodian of the Enterprise Data Model, ensuring that all changes are documented, standards are adhered to, and the model remains the single source of truth for data structures.
• Standards Enforcement: Work closely with Data Architects and engineering teams to conduct reviews, ensuring the logical and physical data models are aligned.
• Metadata Curation: Oversee the process of defining critical data elements, metadata, data catalog and business glossary.

Data Analysis & Mapping Process Management:

• Process Oversight: Manage the end-to-end process for creating, reviewing, and approving Source-to-Target Mapping (STM) documents. Ensure the process is efficient and timelines are met.
• Quality Gatekeeper: Act as a critical review point for all data mappings, performing quality checks for completeness, clarity, and adherence to standards before they are passed to the engineering teams.
• Liaison & Coordination: Act as a key liaison between the Data Analysts, business SMEs to automate reporting requirements, data analytics eliminating data copies.

Job Requirements

Required:

• Bachelor's degree in a relevant field (e.g., Information Management, Business, Finance, Technology).
• 10+ years of experience in the data management field within the Banking and Financial Services industry.
• Significant hands-on experience in implementing and managing processes within at least two of the following areas: Data Governance, Data Modelling, or Data Analysis & Mapping.
• Strong understanding of banking data domains (e.g., Wholesale Banking, Treasury, Risk Management) and their associated data challenges.

Desired/Preferred:

• Direct experience participating in a large-scale data migration or business transformation project.
• Experience working with data governance and cataloging tools (e.g., Collibra, Alation, Azure Purview).
• Good understanding of modern data architectures (Data Lakehouse, Medallion Architecture) and platforms (Databricks, Azure).
• Certification in Data Management (e.g., DAMA)

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