Senior Data Analyst, Credit Risk
- Petaling Jaya, Selangor
- Tetap
- Sepenuh masa
- Strategic P&L Ownership: Architect and implement retail credit risk strategies (BNPL, Cash Loans) to hit P&L targets and maximize Risk-Adjusted Returns (RAR).
- Technical Policy Execution: Define risk segments and whitelisting logic, ensuring policy intent is accurately mirrored in the Credit Decision Engine (CDE) through rigorous UAT.
- Portfolio Surveillance & Deep Dives: Lead pro-active monitoring and technical deep-dives using SQL/Python to analyze front-book impact, vintage performance, and flow-to-loss rates.
- Stakeholder Orchestration: Collaborate with Product, Engineering, Data Science, and D&A to align technical data pipelines with credit strategy and business growth.
- Forecasting & Provisioning: Manage risk model parameters (PD/LGD/EAD), backtesting, and provisioning calculations to ensure accurate financial exposure reporting.
- Retail Lending Expertise : 7+ years in Credit Risk Management for high-volume consumer products (BNPL, Cash Loans, or Credit Cards), preferably in a Bank or Fintech environment, with hands-on experience in portfolio monitoring and strategy execution.
- Advanced Technical Stack : Proficiency in SQL and Python is mandatory for independent data extraction, portfolio deep-dives, and strategy analysis/backtesting.
- Strategic Acumen : Experience contributing to credit policies, supporting risk segmentation, and executing large-scale automated decisioning strategies, with the ability to balance risk objectives with commercial growth.
- Technical Systems Knowledge : Working knowledge of Credit Decision Engines (CDE), including exposure to rule implementation, testing, and collaboration with engineering teams for deployment.
- Portfolio Governance : Good understanding of Malaysian credit infrastructure (CTOS/CCRIS) and experience working with stakeholders across Product, Engineering, senior country business/commercial teams, and regional risk.
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