Data Management Executive

JOB DESCRIPTION

Work assigned is not limited to the job scope listed below, and may be assigned to another function based on the workload and requirement:

• This role requires strong analytical skills, attention to detail, and the ability to manage large datasets effectively, with knowledge of investment data being an advantage.
• Candidates must work independently, communicate effectively with stakeholders, and proactively identify and resolve data-related issues.

JOB RESPONSIBILITIES

1. Data Quality Management

• Establish a structured data profiling and remediation process on Critical Data Elements (CDE) defined by data consumers.
• Advise on business rules maintenance such as creating, updating, and modifying the security master files, portfolio characteristics, market data, etc.
• Ensure timely and accurate data entry into the investment management system.
• Develop and maintain data management procedures and documentation, and implement data quality improvement initiatives.
• Perform regular housekeeping on reference data in the system to ensure the capability of further data analytics.
• Identify and resolve data discrepancies and issues promptly.
• Monitor and maintain data quality, ensuring integrity, accuracy, consistency, and completeness of the golden copy record. Data must be clean and available for users’ consumption on a timely basis.

2. Master Data Management

• Ensure a single version of truth is established for CDEs shared across multiple users.
• Collect, validate, and maintain investment data from various sources, including market data providers, custodians, and internal systems.
• Establish and create a single source of truth for investment data based on multiple sources and providers interfaced to EPF core investment and fund accounting systems.
• Implement processes to validate and ensure the quality of data within the golden copy before disseminating to upstream and downstream systems.
• Ensure that updates to the golden copy are synchronized across all relevant systems and platforms and collaborate with other system administrators to maintain consistency.
• Perform regular data validation and reconciliation to identify and resolve discrepancies.

3. Metadata Management

• Maintain a structured and comprehensive data documentation for all CDEs such as data attributes, transformation rules, and business glossary.
• Ensure consistent use of specific standardized data sets such as security identifiers, currency, issuer, and country codes across multiple systems and collaborate with other system administrators to maintain consistency.
• Build, manage and maintain a comprehensive metadata inventory which covers the data definition, source, lineage, formats, & standards.

4. Department’s Data Steward

• Ensure all data management activities comply with regulatory requirements and internal policies.
• Monitor and manage data-related risks and implement controls to mitigate them.
• Define data definition, information classification, CDEs, and business rules for Data Quality (DQ) & Data Loss Protection (DLP).
• Ensure compliance and effective communication of Data Governance policy, Information Classification, Labelling & Handling Guidelines (ICHG), DLP Framework & any other relevant processes to business users.
• Act as Data Change Agent to disseminate relevant communications on Data Governance, ICHG, and DLP.
• Determine authorised users and access permissions on the Data, Information & DLP whitelisting.
• Coordinate, investigate, and propose solutions to resolve data quality issues & DLP incidents.
• Manage and protect information assets in accordance with following legal, audit, statutory, and regulatory requirements.
• Escalate significant data issues to the Data Owner or Data Steward Working Group for resolution.
• Report incident summary to Data Owners.
• Ensure adequate protection of the information assets.

5. Collaboration & Business Technical Consultations

• Collaborate with business leaders to identify information needs and translate them into data requirements.
• Work closely with IT and data engineering teams to ensure the data infrastructure supports accurate and efficient data analysis.
• Partner with other analysts and data scientists to develop data-driven solutions to business problems.
• Act as a liaison between technical teams and non-technical stakeholders to ensure clear communication and understanding.
• Coordinate test planning between business users and relevant parties such as vendor, consultant, IT Dept.) when required.
• Update manual operation, working instructions, automation templates, documentations, and paperwork related to data management and operations.
• Provide continuous and excellent support for any projects/initiatives carried out by the department or organisation.

JOB REQUIREMENTS

• Bachelor’s Degree in Actuarial Science/ Computer Science/ Statistics/ Finance/ Mathematics/ Financial Engineering/ Business Management/ Data Analyst or other related qualifications that are recognised by the Government of Malaysia.
• Having at least 5 years of experience in the field of data management/ fund accounting system supports/ data maintenance/ investment back-office operation/ capital market operation.
• Possess Oracle SQL knowledge.
• Excellent knowledge in financial instruments, market data, and investment operations.
• Ability to leverage technology and automation to improve operational efficiency.
• Strong technical troubleshooting and problem-solving skills.
• Strong analytical skills and attention to detail.
• Good communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment and adapt to changing business conditions or technological advancements.
• Malaysian citizen.
• Pass the Malay Language including an oral test at the Sijil Pelajaran Malaysia (SPM) level or equivalent as recognised by the Government.

PLACEMENT

Investment Solution & Innovation Section, Investment Services Department

JOB STATUS

Permanent

All applications are strictly CONFIDENTIAL and only shortlisted candidates will be called in for interviews. Applications are deemed UNSUCCESSFUL if there is no feedback from the EPF 2 MONTHS after the closing date of the advertisement.