
Senior Financial Risk Manager
5 days ago
We are seeking an exceptional Senior Financial Analyst with deep expertise in financial modeling and lending risk analytics. This individual will play a key role in delivering strategic insights by analyzing key profitability drivers, credit loss curves, and collections performance.
Key Responsibilities:- Develop full-stack profitability models for retail loan products including STPL BNPL LAP PL
- Work on IRR NPV RAROC models at cohort and borrower segment level to enhance predictive capabilities
- Analyze the impact of pricing approval rate CAC collections cost and credit loss on unit economics for informed decision-making
- Simulate outcomes under different business scenarios and sensitivities such as resolution drop bounce spike to optimize strategies
- Build and refine static pool/vintage models to estimate losses across DPD buckets and track collection efficiency
- Use bounce data resolution rate trends and flow-through logic to predict future delinquency and improve recovery rates
- Calibrate expected loss models and integrate with provisioning ECL or capital forecasting frameworks to ensure accuracy
- Partner with credit and collections teams to iterate on back-tested outcomes and drive continuous improvement
- Track collections efficiency across buckets Soft Hard Legal and compute impact on NCL to inform policy decisions
- Use bounce rate and recovery flow to model resolution probability curves and design effective recovery scenarios
- Design dashboards in Power BI / Excel for risk and profitability KPIs to facilitate data-driven decision-making
- Create MIS and simulation tools for business credit and strategy teams to support strategic planning
- Present to senior leadership actionable insights on loss trends recovery ROI and segment economics to inform business strategies
- Deep expertise in financial modeling and lending risk analytics
- Strong background in retail lending preferably within a Bank NBFC or FinTech environment
- Experience with IRR NPV RAROC models and static pool/vintage models
- Knowledge of collections efficiency metrics and tracking systems
- Ability to analyze complex data sets and present findings effectively
- Excellent communication and collaboration skills
- Opportunity to work with a dynamic team and contribute to business growth
- Professional development and growth opportunities
- Competitive compensation and benefits package
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