FX & EM Model Risk Quant – Associate, Governance & Review

Testing Site - JPMC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Testing Site - JPMC is seeking a Quant Model Risk Associate to join the FX and Emerging Markets risk governance team. You will assess complex valuation models, pricing engines, and risk measures used across the firm, identifying limitations and helping build compensating controls.

You will collaborate with model developers and users, deliver quantitative analyses, benchmarks, and model performance metrics, and contribute to end-to-end model risk management in a fast-paced, global environment.

Qualifications

• Excellence in probability theory, stochastic processes, statistics, PDEs, and numerical analysis.
• MSc, PhD or equivalent in a quantitative discipline.
• Inquisitive nature with ability to ask the right questions and escalate issues.
• Excellent written and verbal communication skills.
• Good understanding of option pricing theory for derivatives pricing and hedging.

Responsibilities

• Carry out model reviews: analyze conceptual soundness of pricing models, engines, and reserve methodologies.
• Provide guidance on model usage and act as first point of contact for the business on new models and changes to existing models.
• Develop and implement alternative model benchmarks and compare outcomes; design model performance metrics.
• Liaise with model developers, Risk and Valuation Control Groups and provide guidance on model risk.
• Evaluate model performance on a regular basis.

Skills

Probability theory

Stochastic processes

Statistics

Numerical analysis

Option pricing theory

C/C++

Python

Quantitative modelling

Model risk awareness

FX derivatives knowledge

Education

MSc/PhD or equivalent in a quantitative discipline

Tools

Python

C/C++

Job description

Testing Site - JPMC is seeking a Quant Model Risk Associate to join the FX and Emerging Markets risk governance team. You will assess complex valuation models, pricing engines, and risk measures used across the firm, identifying limitations and helping build compensating controls.

You will collaborate with model developers and users, deliver quantitative analyses, benchmarks, and model performance metrics, and contribute to end-to-end model risk management in a fast-paced, global environment.