Risk Management - Wholesale Credit Risk Vice President

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading financial institution is looking for a Vice President in Risk Management to lead model development for forecasting and risk management. Candidates should have solid knowledge of statistical methods, extensive programming skills in Python, and prior experience with large datasets. Familiarity with credit risk modeling will be beneficial. This role involves designing sophisticated models and utilizing machine learning techniques in a collaborative environment. Opportunities to contribute to critical regulatory reviews are also included.

Qualifications

• Strong background in statistical methods like regression and time-series analysis.
• Capacity to handle large datasets including data cleaning.
• Practical programming skills in Python.

Responsibilities

• Lead model development for forecasting and risk management.
• Design and develop sophisticated statistical and econometric models.
• Implement machine learning techniques for risk monitoring.

Skills

Statistical methods and models knowledge

Experience with large panel data

Programming in Python

Credit risk modeling knowledge

Tools

R

Job description

Bring your expertise to JPMorgan Chase.As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a part of the Risk Management - Wholesale Credit Risk Vice President team, you are at the center of keeping JPMorgan Chase strong and resilient. The position requires the experience in modeling of either balance forecasting (commitment, utilization, prepayment)and/or spread/GII/NII.

Job responsibilities

• Leadmodel development:analyzeconceptualsoundnessof complex forecasting models,engines,andreservemethodologies;assessmodelbehaviorandsuitabilityof forecasting models/enginesfor Wholesale Credit
• Design & Develop Models: Create, enhance, and maintain sophisticated statistical and econometric models for forecasting and risk management
• Develop Stress Capital modeling: To support exercises such as Comprehensive Capital Analysis and Review (CCAR), Internal Capital Adequacy Assessment Process (ICAAP), and CECL.
• Utilize and implement Machine Learning: AI/ML techniques for risk monitoring, predictive modeling, and analyzing large, complex, structured/unstructured datasets.
• Work with model implementation team, data team and production
• Evaluate model performance on a regular basis

Required qualifications, capabilities, and skills

• Solid theoretical and practical knowledge of statistical methods and models: generalized linear models, time-series analysis, clustering, decision trees, logistic regression.
• Experience in handling large amount of panel data, and data cleaning/filtering.
• Hands on programming in Python.
• Basic knowledge on credit risk modeling both at single-obligor level and portfolio level.
• Previous experience in writing documents for regulatory reviews.

Preferred qualifications, capabilities, and skills

• Prior experience in wholesale credit is preferred.
• Prior experience in PPNR modeling is strongly preferred.
• R is good to have.