Key Responsibilities
1. Data Governance & Data Quality
• Develop and maintain data governance frameworks, policies, standards, and controls.
• Ensure data accuracy, completeness, consistency, and integrity across systems.
• Implement automated data validation and reconciliation processes.
• Define and standardize KPIs and reporting logic across business units.
2. Regulatory & Risk Reporting
• Support regulatory reporting initiatives (e.g., Basel, IFRS, financial regulatory submissions).
• Design dashboards for compliance monitoring, threshold tracking, and risk analytics.
• Work closely with Compliance, Risk, and Finance teams to ensure reporting accuracy.
3. Data Engineering & ETL Management
• Design, build, and maintain scalable data pipelines (ETL/ELT).
• Integrate multiple data sources including data lakes, cloud storage, and enterprise systems.
• Automate workflows to improve reporting efficiency and reduce manual intervention.
• Manage data ingestion, transformation, and processing pipelines.
4. Analytics & Visualization
• Develop stakeholder-facing dashboards using tools such as Power BI, Tableau, or Looker.
• Translate complex datasets into actionable business insights.
• Provide analytics support for operational, financial, and risk-related use cases.
5. Stakeholder Management & Collaboration
• Partner with business stakeholders to gather requirements and translate them into technical solutions.
• Align data definitions and business logic across departments.
• Provide root cause analysis and support for data discrepancies.
Requirements
- Bachelor’s Degree in Data Analytics, Computer Science, Engineering, Finance, or related discipline.
- Over 8 years of experience in Data Governance / Data Management / Data Analytics / Data
- Candidate must have AiGP certification and DAMA
Strong knowledge of:
• SQL & relational databases
• ETL tools (Informatica, ADF, Airflow, etc.)
• Data warehousing concepts
• Data quality frameworks
• Experience with visualization tools (Power BI / Tableau / Looker).
• Familiarity with regulatory frameworks (Basel, IFRS, financial compliance) is advantageous.
• Must have experience working with cloud platforms (Azure / GCP / BigQuery / Data Lake environments).
• Strong analytical mindset with ability to work independently and in cross-functional teams.
Preferred Skills
Python for data processing and automation.
Experience in financial services / banking environment.
Exposure to machine learning or risk modelling is a plus.
Knowledge of workflow orchestration tools (Airflow, Control-M, etc.).
Soft Skills
• Strong stakeholder communication skills.
• Detail-oriented with strong data accuracy mindset.
• Ability to work in fast-paced, regulated environments.
• Problem-solving and root cause analysis capability.