Model Risk Governance and Review (MRGR) - London - 2025 ReEntry Program

Greater London
Full time
Posted
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JP Morgan
Banking, investment & finance
10,001+ employees
412 jobs
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At JPMorganChase, we recognize that rewarding careers do not always follow a conventional path. We value the diversity, fresh perspective and wealth of experience that returning professionals can bring.

The ReEntry program offers experienced professionals, who are currently on an extended career break of at least two years, the support and resources needed to relaunch their careers. The program spans over 30 locations worldwide.

The ReEntry Program is a 15-week fellowship program, beginning April 22, 2025, and ending July 31, 2025 with the prospect of an offer for permanent employment with JPMorganChase at the end of the program. The permanent placements will be based on both business needs and candidate skill set.

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.