LONDON, LONDON, United Kingdom
34 days ago
Model Risk Governance and Review (MRGR) - London - 2025 ReEntry Program

The ReEntry Program is a 15-week fellowship program, starting 22nd April 2025, and concluding July 31st, with the prospect of an offer for permanent employment with JP Morgan Chase at the end of the program. The program offers a reintroduction to corporate life for those returning to the workplace after two or more years of voluntarily being away.

As part of Risk Management and Compliance, you are at the centre 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 by 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.

Please refer to our ReEntry Overview page for further information regarding the Program.

Group Description

MRGR (Model Risk Governance and Review) is a global team of modelling experts within the firm’s Risk Management and Compliance organization. MRGR consists of three groups: Coverage, PPG (Policy, Practice, and Governance), and COO (Chief Operating Office). Each group plays a vital role in conducting and supporting independent model review and governance activities to identify, measure, and mitigate Model Risk within the firm. 

Coverage Group

The Coverage group oversees compliance with all MRGR policies and procedures necessary for effective, holistic, and independent model risk management. This includes model review and governance, effective communication with CROs, and LOB stakeholders.

The main requirements for this team are:

A Ph.D. or Master’s degree in a quantitative field such as Math, Physics, Engineering, Computer Science, Economics or Finance is required. Previous experience in a quantitative or modelling role. Candidates with significantly more experience may be considered for more senior roles.  Understanding of Python, R, Matlab, C++, or other programming languages

 

Policy, Practice, and Governance (PPG) Group

The PPG group supports the Head of MRGR in maintaining and evolving the estimation risk management framework. They own MRGR policy and procedures, quality assurance of MRGR processes, and continuous improvement initiatives. The team is responsible for cross-LOB governance activities, such as the Annual Status Assessment, and owns Estimation Development standards, including those for AI/ML models. 

The main requirements for this team are:

Undergraduate or Master’s degree in economics, finance, computer science or another quantitative discipline Experience in risk management, technology, model development or model risk roles

 

Chief Operating Office (COO) Group

The COO group supports model risk stakeholders and drives governance activities, focusing on product ownership, process engineering, and software development for model risk technology and analytics. They manage model risk reporting, oversight committees, and regulatory and audit deliverables, including capital stress testing. The MRGR Product Team handles technology and analytics coordination, while the MRGR Analytics Team develops supplemental tools and supports independent testing. The MRGR Reporting & Execution Team bridges MRGR COO and LOB-aligned teams, and the MRGR Regulatory & Audit Team oversees regulatory deliverables. The MRGR Business Management Team manages budgeting, headcount, and internal training, ensuring financial discipline and effective communication.

The main requirements for this team are:

Bachelor’s or Master’s degree in a STEM discipline with significant programming exposure. Experience in full-stack application development Proficiency in Python and knowledge of Tornado web framework, TypeScript, or React

or

Bachelor’s degree in a relevant field (e.g., Communications, Engineering, Finance, Accounting, Economics, Mathematics). Experience in financial services, business management, or related fields.

 

 

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