About the role

Wholesale Credit Quantitative Research Model Forecast Implementation Team designs and implements modern risk modeling platforms and algorithms that power wholesale credit decisions at JPMorgan Chase. The Associate develops statistical and quantitative risk models, builds object‑oriented software in C++ and Python, and integrates models into the Firmwide Forecasting Framework while collaborating with model developers and business partners. Mumbai, Maharashtra, India, on-site, full‑time.

What you’ll bring

Proficiency in C++ and Python
Experience with Pandas and NumPy
Statistical modeling and Monte Carlo simulation
Designing and consuming RESTful APIs
Ability to work with large datasets

Skills

Risk modelingQuantitative analyticsC++PythonData analysisMonte Carlo simulationAPI integrationCode reviews

Education

Bachelor’s degree in computer science, data science, mathematics, statistics, financial engineering or related field