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Wholesale Credit Quantitative Research - Associate
About the role
Wholesale Credit Quantitative Research team at J.P. Morgan builds advanced risk models to support regulatory stress testing and loan loss reserve calculations. As an Associate you will design, develop and back‑test loss forecasting models, monitor model performance, and collaborate with senior researchers and business partners. Mumbai, India, on‑site work model.
What you’ll do
- Design and develop loss forecasting models for regulatory purposes
- Conduct back‑testing and ongoing model monitoring
- Analyze large datasets and perform data cleaning/filtering
- Collaborate with internal partners to align model outputs with business needs
- Apply statistical techniques and machine learning methods to improve model performance
What you’ll bring
- Degree in Engineering, Financial Engineering, Computer Science, Mathematics, Statistics or related field
- 3-5 years quantitative research experience
- Proficiency in Python or C++
- Strong knowledge of statistical methods: GLM, time‑series, clustering, decision trees, logistic regression
- Experience with large panel data handling and data cleaning
- Understanding of credit risk, regulatory frameworks (CCAR, ICAAP)