Model Risk Governance & Validation Associate

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Model Risk Program Associate within Corporate Aligned functions to assess model risks across HR, Legal, Finance and Technology. You will validate models, benchmark performance, and monitor model risk with strong technical judgment.

Ideal candidates bring PhD/Master’s in a quantitative field, expertise in AI/ML, Python/R, and experience communicating complex results to stakeholders in a fast-paced financial services environment.

Qualifications

• PhD or Master’s degree in a quantitative field is required.
• Strong verbal and written communication skills for cross-functional interfaces.
• Deep understanding of standard statistical techniques and AI/ML methods.
• Analytical and problem-solving skills with attention to detail.

Responsibilities

• Conduct independent model validation and governance activities focusing on statistical models and AI/ML.
• Provide expert judgment on model performance and usage.
• Guide business on model changes and new deployments.
• Develop and implement alternative model benchmarks and compare outcomes.
• Liaise with developers, users and control functions for model risk guidance.
• Document validation processes and communicate findings to stakeholders.
• Design model performance metrics and evaluate performance regularly.

Skills

Communication skills

AI/ML knowledge

Statistical techniques

Analytical thinking

Attention to detail

Python

R

Model benchmarking

Independent work

Teamwork

Model risk awareness

Fast-paced environment

Benchmarking models

Education

PhD in a quantitative field (e.g., Mathematics, Physics, Engineering, CS, Economics, Finance)

Master’s degree in a quantitative field

Tools

XGBoost

Neural Networks

Reinforcement Learning

Regression analysis

Job description

JPMorgan Chase & Co. is seeking a Model Risk Program Associate within Corporate Aligned functions to assess model risks across HR, Legal, Finance and Technology. You will validate models, benchmark performance, and monitor model risk with strong technical judgment.

Ideal candidates bring PhD/Master’s in a quantitative field, expertise in AI/ML, Python/R, and experience communicating complex results to stakeholders in a fast-paced financial services environment.