Model Risk Quant AnalystAssociate

JPMorganChase; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading global financial institution is seeking a Model Risk Quant Analyst / Associate in London. This full-time role involves conducting model reviews, evaluating performance metrics, and collaborating with various teams to manage model risks in derivatives. Candidates should hold a PhD or MS in a quantitative field and possess strong analytical abilities. Programming knowledge in Python is also essential. This opportunity allows for exposure to diverse financial models and hands-on contributions to risk management efforts.

Qualifications

• PhD or MS degree in a quantitative area such as Mathematics or Engineering.
• Solid grasp of financial mathematics and derivative pricing models.
• Good command of stochastic calculus and numerical methods.
• Inquisitive nature with a risk and control mindset.

Responsibilities

• Evaluate conceptual soundness and implementation of models.
• Design experiments to measure model performance.
• Assess models' fit-for-purpose in business contexts.
• Collaborate with model developers and trading desks.

Skills

Quantitative analysis

Probability theory

Analytical skills

Problem-solving

Communication

Programming in Python

Education

PhD or MS in Mathematics, Finance, Applied Mathematics, Physics, Engineering

Job description

Description

Model Risk Governance and Review (MRGR) is a global team of modelling experts within the firm’s Risk Management and Compliance organization. The team is responsible for conducting independent model reviews and governance activities to identify and mitigate model risk across the firm. Within MRGR the MRGR Credit Portfolio Group (CPG) Derivatives team manages model risks associated with XVA and Counterparty Credit Risk (CCR) capital models for JPMorgan’s extensive derivatives portfolios.

Opportunity

This role offers a unique opportunity to gain exposure to a cross‑asset framework that spans multiple lines of business and associated models. It encompasses a broad range of usages including valuation capital and credit risk management and operates in a relatively nascent area marked by ongoing model development and enhancement.

Role Summary

As a Model Risk Quant Analyst / Associate in the Model Risk Governance and Review team you will conduct comprehensive model review and governance activities across a diverse array of models, including risk factor simulation engines, correlation and relatedness models, exposure aggregation and end‑use models such as CVA and FVA (Credit and Funding Valuation Adjustments) as well as CCR Regulatory Exposure. You will also contribute to the expansion of our benchmarking library and the development of related tools, bolstering the model validation team’s capacity to independently test models used in the XVA / CCR space.

Job Responsibilities

• Evaluate the conceptual soundness of the models; the adequacy of the testing to support the model assumptions and the correctness of the implementation; the suitability and comprehensiveness of performance metrics and risk measures associated with the use of the model.
• Design and implement experiments to measure on‑going model performance and potential impacts of model limitations.
• Evaluate model performance on an ongoing basis and in periodic re‑reviews.
• Work closely with model developers, trading desk and control functions (Credit Risk and Valuation Control) to understand usage of models within the business context, assess models fit‑for‑purpose for specific portfolios and syndicate the identified model risks to ensure that they are understood, captured, monitored and managed.
• Contribute to the built‑out of the team’s independent benchmarking library.

Required Qualifications, Capabilities and Skills

• PhD or MS degree in a quantitative area (Mathematics, Finance, Applied Mathematics, Physics, Engineering or similar).
• Solid grasp of financial mathematics and knowledge of derivative pricing models.
• Good command of probability theory, stochastic calculus and numerical methods.
• Excellent analytical and problem‑solving abilities.
• Excellent communication skills (written and verbal).
• Inquisitive nature, ability to ask the right questions and elevate issues; risk and control mindset.
• Knowledge of programming languages (Python).

Preferred Qualifications, Capabilities and Skills

• Experience in model validation or model development.
• Familiarity with XVA and Counterparty Credit Risk space more generally.

Employment Type

Full‑Time

Vacancy

1