Risk Management -Wholesale Credit Risk Associate

Testing Site - JPMC; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorgan Chase in Mumbai seeks a skilled quantitative developer to design and implement wholesale credit risk models. You will drive model development with Python and C++, perform backtesting and stress testing, and integrate models into the Firmwide Forecasting Framework.

Collaborate with model developers and business partners to test forecasting capabilities, present findings to senior leaders, and ensure robust, scalable solutions across model cycles.

Qualifications

• Bachelor’s degree or equivalent in CS/DS/Math/Statistics/FE.
• Proficiency in C++ and Python OOP.
• Experience with Pandas/NumPy for data analysis.
• Experience with statistical modeling and Monte Carlo simulation.
• Ability to work with large datasets.
• Experience designing RESTful APIs for quantitative workflows.

Responsibilities

• Develop statistical and quantitative risk models for wholesale credit portfolios.
• Design, implement, and maintain wholesale credit models, including stress testing and credit reserves.
• Implement efficient numerical algorithms using Python and optimized C libraries.
• Build object-oriented software for risk analytics and integrate into forecasting framework.
• Analyze and debug forecast behaviors to improve accuracy.
• Conduct peer code reviews to improve quality and performance.
• Collaborate with model developers and business partners to implement and test forecasting capabilities.
• Present progress and roadmap updates to senior leaders and modeling teams.
• Manage deliverables, defects, and new feature releases across development cycles.
• Review and test technical documentation for clarity and compliance.

Skills

C++

Python

OOP

Monte Carlo

Data handling

REST APIs

Education

Bachelor’s degree or equivalent in CS/DS/Math/Statistics/FE

Tools

Pandas

NumPy

Job description

Job responsibilities

• Develop statistical and quantitative risk models for wholesale credit portfolios.




• Design, implement, and maintain JPMorgan Chase wholesale credit models, including stress testing and credit reserve requirements; support model backtesting and validation.




• Implement efficient numerical algorithms using Python and optimized C libraries.




• Build object-oriented software for risk analytics and integrate new models into the Firmwide Forecasting Framework.




• Analyze and debug unexpected forecast behaviors to improve accuracy and robustness.




• Conduct peer code reviews to elevate quality and performance of the forecasting framework.




• Collaborate with model developers and business partners to implement, test, and operationalize forecasting capabilities.




• Present progress, findings, and roadmap updates to senior leaders and modeling teams.




• Manage project deliverables, defect remediation, and new feature releases across model development cycles.




• Review, implement, and test technical documentation to ensure clarity and compliance.

Required qualifications, capabilities, and skills

• Bachelor’s degree or equivalent education in computer science, data science, mathematics, statistics, financial engineering, or related fields.




• Proficiency in object-oriented programming using C++ and Python.




• Strong knowledge of tools and methods for exploratory data analysis, such as Pandas and NumPy, which leverage efficient low-level C implementations.




• Experience with statistical modeling and Monte Carlo simulation.




• Ability to work with large datasets.




• Experience designing and consuming RESTful APIs for quantitative workflows (credit data, risk calculators, model executions).

Preferred qualifications, capabilities, and skills

• Experience with LLMs, prompt engineering, and AI-based agent coding tools is a plus.