Modelling Analytics - Associate
On-site · Bengaluru, Karnataka, India
Job Summary
Forecast credit card losses by portfolio segments; develop origination vintage and product-level forecasts; analyze model outputs; create executive-ready summaries for leadership; run scenario analyses based on economic conditions; monitor delinquency forecasts; support regulatory reporting; provide insights to senior management through risk deep dives; leverage Python, SAS, SQL, and MS Office; 3+ years in credit risk management or analytics; experience with unsecured lending underwriting (credit cards, personal loans, BNPL).
Required Qualifications
- Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training
- Minimum 3 years Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience
- Strong knowledge of Python, SAS, SQL and MS Office required
- Prior experience to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL
- Strong analytical, interpretive, and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
- Excellent oral, written communication and presentation skills
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