100 Data Integrity jobs in Singapore

The Data Validation Analyst plays a key role in ensuring the accuracy and reliability of customer experience feedback data. This role supports strategic decision-making by validating survey responses and customer interaction data across multiple insurance touchpoints, helping improve service quality and customer satisfaction.

Responsibilities:

• Review and validate customer experience data from surveys, call centre logs, emails, and digital, and social media platforms.
• Identify, document, and resolve data discrepancies and anomalies.
• Collaborate with customer research and analytics teams to ensure data integrity for sentiment analysis and trend reporting.
• Support the development of dashboards and reports that reflect accurate customer sentiment and satisfaction metrics.

Requirements:

• Education – Diploma or Degree holders, preferably in business, finance
• Experience – prefer to have 1+ years in data validation, data analysis, or quality assurance within the insurance or financial services industry.
• Data driven and results oriented
• High level of attention to details and able to work independently
• Proficiency in Excel and data visualization tools (e.g., Power BI, Tableau) preferred

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Location:

Raffles (City Area), SG, 048624

Company: United Overseas Bank Ltd

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Data Management Office (DMO)

DMO believes that data is key to responsible innovation, growth, and competitive advantage in the banking industry. Our mission is to leverage our data assets to create value for our customers, stakeholders and employees. We achieve this by defining, and executing to, enterprise data strategies and transformation, delivering valuable and trusted data to the organisation via the most efficient and responsible manner, ensuring robust data governance via strong enforcement, literacy, and management of emerging data risks and data regulatory compliance, as well as bringing Artificial Intelligence (“AI”) solutions to our business stakeholders to drive monetisation of our data assets.

This role is a key part of the Enterprise Data Governance Team, supporting the Head of Enterprise Data Governance in shaping and delivering data quality initiatives across the Group, aligned with the Bank’s strategy. In this role, you will work closely with Business, Support, and Technology teams to initiate projects, gather requirements, design solutions, and deliver on agreed project outcomes within stipulated timelines.

Your main responsibilities are to:

• Support the UOB Group-wide Data Governance strategy and the adoption of the data governance framework, policy and processes; incorporating best practices and industry standards across different jurisdictions where the Bank operates
• Drive the adoption and improvement of operational governance of enterprise data, through activities such as defining data quality requirements, guiding data lineage exploration and designing data quality monitoring mechanisms and related controls
• Project management and execute Critical Data Monitoring initiatives via Project Steering Committee and Project Working Groups
• Develop strong partnerships with key internal and external parties ensuring that project expectations and data governance expectations are understood and achieved
• Perform data profiling using SQL and/or Python on large datasets to identify potential data quality issues and create intelligent data quality rules
• Validate and document technical implementation of data quality rules and processes to ensure data quality assurance activities are fit for requirement with users
• Execute technical analysis on data management processes including root cause analysis and data lineage tracing, working with relevant stakeholders across the data lifecycle
• Actively support remediation coordination including tactical and strategic solutioning of data quality issues
• Define, socialize, seek endorsement, and maintain key Data Governance artefacts and processes including: frameworks, policies, standards, guidelines and target operating models
• Participate in the development of data standards incorporating industry best practices across Data Quality, Metadata, Reference data and Master data
• Be an agent of change and inculcate data governance culture and discipline across the Bank’s business and technical processes

• Degree in Computer Science, Information Technology, Business Computing or related disciplines with at least 8-10 years of working experience in the banking industry, or consulting industry with strong exposure to Financial Services
• Extensive knowledge and hands-on experience within Data Governance discipline including data governance frameworks (e.g. DAMA-DMBOK), data stewardship/ownership models and data quality management
• Knowledge of data governance industry best practice and regulatory requirements such as BCBS 239, MAS 626, AML/KYC, FATCA, GDPRA etc.
• Strong communication and stakeholder engagement skills, with experience in project management or change management
• Strong technical knowledge in relation to Python, SQL, Big Data Platforms, ETL Tools and Metadata tools
• Evidenced project delivery with cross functional stakeholders from both technical and business domains
• Good understanding of data management and related disciplines, such as data architecture, data quality and metadata
• Professional certification in data governance (e.g., DAMA CDMP, Collibra, DGSP, CIMP), risk management (e.g., GARP, PRIMIA) are a plus
• Demonstrated ability as team player and self starter, ability to conduct initiatives independently.

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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Location:

Singapore (City Area), SG, 048624

Company: United Overseas Bank Ltd

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

The Data Management Office is a centralized function dedicated to driving data democratization through high-quality, credible data and effective management of our data architecture and tools. It governs data usage, provides guidance, optimizes data value for smarter decision-making and improved operational efficiency, and ensures compliance with regulatory data governance standards.

The role will support AI (including Gen AI) as well as data governance activities across the organisation. This role will play an important part in establishing and maintaining a robust governance framework for the development, deployment, and monitoring of AI models as well as operationalisation of data governance across the Bank. The role requires a good conceptual and technical understanding of AI (and Gen AI) technologies, regulatory requirements, data and AI risks such as explainability, data quality, fairness, privacy, security, accountability, transparency, ethics, as well as Gen AI risks such as hallucinations, toxicity, discrimination, etc.

Your main responsibilities are to:

• Actively contribute to conceptualising, driving and implementing bank-wide AI (and Gen AI) governance strategy, AI and data governance framework, policy, related standards, procedures and guardrails, in line with the Bank’s business, data and AI objectives as well as evolving industry practices
• Collaborate with cross-functional teams, including data scientists, data engineers, technology, risk, legal and compliance, to integrate AI (and Gen AI) and data governance practices into the bank's ecosystem
• Actively contribute to the development of AI and data risk management strategies, such as identification of potential risks and implementation of mitigation measures and guardrails
• Support periodic reporting and updates on AI and data Governance activities to the relevant AI and data governance taskforce and other stakeholders
• Understand the relevant end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; co-ordinate in the development and enhancement of supporting documentation
• Stay abreast of emerging AI and data regulations, industry best practices, and technological advancements to continuously improve the bank's AI and data governance strategy, framework and operationalisations
• Be an agent of change and inculcate AI and data governance culture and discipline across the Bank’s key AI and data processes. Provide guidance and training to stakeholders on AI (and Gen AI) and data governance principles and practices

• Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Good experience in AI governance, data governance, or a related field, with at least 7-10 years of working experience in the banking industry or equivalent, or consulting/auditing experience with strong exposure to Financial Services
• A good understanding of AI technology and applications, especially Gen AI, including practical experience building or evaluating AI models, with a strong interest in risk mitigation, safety, and governance of Gen AI systems.
• Support a dynamic, collaborative and fast-evolving team environment
• Passion for governing Generative AI technology particularly in the context of a scaled bank.
• Experience building Agentic AI, LLM, RAG systems with vector databases and understanding their risks and practical governance implications.
• Exposure to policy-planning, AI ethics, bias mitigations, privacy, and related financial services regulations
• Good understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. red teaming)
• Good influencing and persuasion skills, and ability to obtain consensus across diverse stakeholder groups
• Comfortable with handling ambiguous situations and navigating conflicts with ease
• Good project management, interpersonal and collaboration skills, with the ability to engage different stakeholders across the Bank

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Posting Date: 20 Apr 2025

Location: Singapore (City Area), SG, 048624

Company: United Overseas Bank Ltd

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success.

The Data Management Office is a centralized function dedicated to driving data democratization through high-quality, credible data and effective management of our data architecture and tools. It governs data usage, provides guidance, optimizes data value for smarter decision-making and improved operational efficiency, and ensures compliance with regulatory data governance standards.

The role will support AI (including Gen AI) as well as data governance activities across the organisation. This role will play an important part in establishing and maintaining a robust governance framework for the development, deployment, and monitoring of AI models as well as operationalisation of data governance across the Bank. The role requires a good conceptual and technical understanding of AI (and Gen AI) technologies, regulatory requirements, data and AI risks such as explainability, data quality, fairness, privacy, security, accountability, transparency, ethics, as well as Gen AI risks such as hallucinations, toxicity, discrimination, etc. Your main responsibilities are to:

• Actively contribute to conceptualising, driving and implementing bank-wide AI (and Gen AI) governance strategy, AI and data governance framework, policy, related standards, procedures and guardrails, in line with the Bank’s business, data and AI objectives as well as evolving industry practices.
• Collaborate with cross-functional teams, including data scientists, data engineers, technology, risk, legal and compliance, to integrate AI (and Gen AI) and data governance practices into the bank's ecosystem.
• Actively contribute to the development of AI and data risk management strategies, such as identification of potential risks and implementation of mitigation measures and guardrails.
• Support periodic reporting and updates on AI and data Governance activities to the relevant AI and data governance taskforce and other stakeholders.
• Understand the relevant end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; co-ordinate in the development and enhancement of supporting documentation.
• Stay abreast of emerging AI and data regulations, industry best practices, and technological advancements to continuously improve the bank's AI and data governance strategy, framework and operationalisations.
• Be an agent of change and inculcate AI and data governance culture and discipline across the Bank’s key AI and data processes. Provide guidance and training to stakeholders on AI (and Gen AI) and data governance principles and practices.

• Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Good experience in AI governance, data governance, or a related field, with at least 7-10 years of working experience in the banking industry or equivalent, or consulting/auditing experience with strong exposure to Financial Services.
• Exposure to policy-planning, AI ethics, bias mitigations, privacy, and related financial services regulations.
• Good understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. red teaming).
• Good influencing and persuasion skills, and ability to obtain consensus across diverse stakeholder groups.
• Comfortable with handling ambiguous situations and navigating conflicts with ease.
• Good project management, interpersonal and collaboration skills, with the ability to engage different stakeholders across the Bank.

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications.

1 day ago Be among the first 25 applicants

Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Job Summary

We’re looking for a Data Management (Banking Industry) to support our team in Singapore but this role Hybrid. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.

Responsibilities:

• Collaborate with business stakeholders and technology teams to gather and analyze data requirements related to banking products, transactions, customers, and reporting.
• Design and maintain logical and physical data models for core banking, risk management, compliance, and financial reporting.
• Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
• Implement and evolve data marts, data warehouses, and data integration layers aligned with the client’s data architecture.
• Work with development teams to deploy physical data models and optimize performance for large financial datasets.
• Ensure all data models comply with data governance, quality, and metadata management standards.
• Produce data documentation, including data dictionaries and lineage diagrams, for business, audit, and regulatory use.
• Support initiatives related to data lineage, metadata management, and data quality to enhance data trust and transparency.
• Provide business support with the ability to identify and highlight IT issues when necessary.
• Create and maintain reports and communicate effectively with both technical and business stakeholders.

Requirements:

• Bachelor's degree in computer science, Information Systems, Data Science, or a related field.
• Min. 7–10 years of experience in data architecture, data modelling, or data management in the banking or financial services industry.
• Deep expertise in logical and physical data modelling, particularly for core banking, risk, compliance, and analytics use cases.
• Strong skills in data modelling tools such as Erwin, PowerDesigner, or similar.
• Advanced SQL skills with experience handling large, complex financial datasets.
• Solid understanding of relational and dimensional modelling, data warehousing, and integration techniques.
• Familiarity with data governance frameworks like DAMA-DMBOK.
• Intermediate understanding of APAC regulatory compliance.
• Excellent communication, collaboration, and documentation skills.
• Ability to create clear reports and work well in a team setting.
• Experience with the American data management platform Collibra (non-development role) is a plus.
• Good communication skills in both writing and spoken to communicate effectively with the stakeholders and clients.

About CLPS RiDiK

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Analyst and Management
• Industries IT Services and IT Consulting, Banking, and Financial Services

Referrals increase your chances of interviewing at RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) by 2x

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1 month ago Be among the first 25 applicants

Only CAT-1 cleared applicants will be considered (Singapore Citizen)

As this is a mid level role, only 2-7 years of experience will be considered.

Only Data Management experience in Financial/Banking/Investment domain will be considered.

Only We are seeking a meticulous and proactive Data Management Specialist with strong analytical and problem-solving skills to support our investment data operations. The ideal candidate will be responsible for ensuring data accuracy, managing reconciliation processes, handling data issues, and supporting end users through documentation and UAT activities. Candidates must be CAT-1 cleared and possess relevant domain knowledge in investment data.

Key Responsibilities:

• Perform data analysis to support investment operations and reporting.
• Implement, monitor, and troubleshoot data reconciliation and quality check processes.
• Manage and resolve data-related issues in a timely and effective manner.
• Develop and maintain Oracle PL/SQL scripts for data extraction, transformation, and validation.
• Collaborate with business users to conduct User Acceptance Testing (UAT).
• Respond to queries from end users and ensure adherence to agreed SLAs.
• Prepare and maintain technical and functional documentation.
• Apply investment data domain knowledge to improve data accuracy and usability.
• Work closely with cross-functional teams to ensure data integrity and governance standards are met.

Requirements:

• CAT-1 cleared or eligible.
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience in data analysis and data issue management.
• Hands-on experience with Oracle PL/SQL.
• Experience in data reconciliation and quality assurance processes.
• Strong documentation skills for technical and functional specifications .
• Familiarity with investment data and financial instruments.
• Excellent problem-solving, logical thinking, and communication skills.
• Ability to manage multiple priorities and meet SLA-driven deadlines.

Good to Have:

• Experience with Tableau for data visualization.
• Familiarity with Snowflake or Denodo platforms.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Job Details

Location : Caldecott

Contract Duration : 1 year

Monday - Friday, hybrid (3 days office 2 days wfh)

Data Management:

- Engage with data stewards to implement Data Quality Implementation Strategy

- Identify and report data quality issues, propose solutions

- Plan and implement strategies to improve data quality

- Streamlining of work processes:

- Consolidate and update FAQs

- Analyze mailbox query trends, propose solutions

- Administrative and Logistical Support:

- Develop and maintain training materials and user guides

- Coordinate logistics for training and change management

- Provide admin and technical support for onboarding new users

Requirements:

- Singaporean

- Proficient in data visualization and data analytics

- Strong project management skills

- Detail-oriented and meticulous

- Positive attitude towards learning

- Ability to work independently and as part of a team

If interested, Whatsapp Jody at 9657 3200 ( ) directly.

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Description: Clent Risk Assessment data Specialist.

CRA Application consists of:
CRA OPA (Oracle Policy Automation) engine, which is a rule-based system without any data repository. It consumes data from various CDD systems and assigns a rating to clients from A-E based on predefined business rules

CRA MM (Model Management ): The CRA Model Management process is to validate the ratings are correct as per the OPA engine ratings. CRA model management is Performed in SAS by building a statistical model which simulates OPA engine calculations in SAS. It’s performed to see to check any discrepancies in ratings or data quality.

CRA T3: Aggregation of Transaction data

Activities to be performed for 200+ data attributes belong to CRA

Responsibility:

1, Data Design Review– to check standards/ data ownership/ data sourcing fill gaps if any.

2. Data Lineage Discovery and Documentation in enterprise metadata management tool (both upstream and downstream). Include cleaning up the lineage for systems if no requirement to consume CRA data.

3. DQ Controls Assessment – with GPOS/System Owners

4. Review existing M7 issues and plan resolution

5. Documentation of Impact Assessment for all consumers of CRA data

6. Data Handshakes review and completion.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
• Min. 7–10 years of experience in data architecture, data modelling, or data management in the banking or financial services industry.
• Deep expertise in logical and physical data modelling, particularly for core banking, risk, compliance, and analytics use cases.
• Strong skills in data modelling tools such as Erwin, PowerDesigner, or similar.
• Advanced SQL skills with experience handling large, complex financial datasets.
• Solid understanding of relational and dimensional modelling, data warehousing, and integration techniques.
• Familiarity with data governance frameworks like DAMA-DMBOK.
• Intermediate understanding of APAC regulatory compliance.
• Excellent communication, collaboration, and documentation skills.
• Ability to create clear reports and work well in a team setting.
• Experience with the American data management platform Collibra (non-development role) is a plus.