153 Data Validation Rules jobs in Singapore

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)

information_technology

Key Responsibilities

• Technical development work for upcoming Data Quality initiatives
• Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
• Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills
• Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard
• Perform data profiling using SQL on large datasets to identify potential data quality issues.
• Develop and amend Qlik dashboard visualizations, in accordance to business requirements.
• Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.
• Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
• Validation of technical implementation to ensure deliverables are fit for requirement with users.
• Strong written and presentation communication skills including dashboards and PowerPoint presentations
• Business process improvement and optimization including creation of SOP
• Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)

Job Requirements

• Bachelor's Degree/Diploma with relevant experience
• Mandatory Skills:  SQL (Query, Table Creation), Qlik dashboard visualization development
• Must have prior Stakeholder management skills
• Strong presentation skills in PowerPoint & project/time management experience
• Good to have:  Python Scripting & Automation

Interested? Please contact via

Whatsapp:

Telegram: @varicklee

We regret that only shortlisted candidates will be contacted

Varick Lee | R

RecruitFirst Pte Ltd | EA. 13C6342

Responsibilities:

• Gather and input data into databases and verify accuracy
• Review data for errors or redundancies, make corrections and check output
• Generate information and prepare reports for business units/ Management
• Build Microsoft Excel-based efficiency improvements
• Initiate/ run project and work with different stakeholders to deliver process improvement and efficiency
• Liaise with vendors and business units to seek new ways to improve data systems
• Any ad-hoc duties/ projects

Requirements:

• Minimum Diploma with at least 2 years of relevant experience
• Advance proficiency in Microsoft Word and Excel such as macro
• Accuracy and attention to detail
• Independent, self-motivated and a team player
• Able to work extended hours when required
• Skilled in problem solving, project management, adaptability, communications, teamwork, results orientation, strategic thinking, and team building

Senior Data Management Professional - Data Quality - ESG Data (Korean speaker), 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 - all while providing platinum customer support to our clients.

Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients – providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.

Our Team:

As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.

The Role:

The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship.

We'll trust you to:

• Define and execute a comprehensive strategy to achieve best-in-class data quality for ESG data, with a strong emphasis on as-reported disclosures and point-in-time accuracy
• Conduct data profiling and apply statistical analysis to measure, monitor, and enhance data quality across key ESG data sets and products
• Collaborate with domain experts in Data, as well as colleagues in Product, Enterprise and Engineering, on implementation scalable, data-driven quality solutions
• Lead initiatives to improve data quality across global datasets, incorporating regional assurance frameworks with a focus on APAC market nuances and local reporting standards
• Apply a subject matter expertise in as-reported ESG data structures, ensuring accuracy across point-in-time series, disclosure timelines, and evolving regulatory requirements
• Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
• Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of best practices more broadly
• Keep up with the industry trends, standards, and innovation in the data quality domain and ESG data standards to continuously refine strategies and maintain competitive edge
• Work in a fast-paced, multifaceted, and collaborative setting

You'll need to have:

• Excellent written and verbal language proficiency in English and Korean as you will cover Korean content
• A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field—or equivalent professional qualifications
• 4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
• Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
• Demonstrated knowledge of data management principles, including data modeling, ETL processes, and workflow design
• Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
• Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
• Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
• Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
• A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
• Demonstrated continuous career growth within an organisation

We'd love to see:

• Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
• Experience profiling datasets and coming up with necessary requirements
• Good understanding of data modeling concepts
• Experience manipulating and wrangling large datasets
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are

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, you'll need to have legal authorisation to work full-time in Singapore, without Bloomberg sponsoring your work authorization, to be considered for this role.