Quant Modeling VP – Model Risk & Validation (Cross-Asset)

JPMorgan Chase & Co.

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in London is seeking a Quant Modeling Associate/VP to join our Model Risk Governance and Review team, focusing on end-to-end risk management for electronic trading models across the firm.

You will assess model risk in valuation, risk measurement and capital calculations, design experiments, and collaborate with model developers and users. The role offers exposure to multiple business areas and requires strong communication and Python skills.

Qualifications

Master’s or PhD in a quantitative discipline.
Strong experience in model validation or front office quant in electronic trading.
Excellent knowledge of probability theory, statistics, and numerical analysis.
Solid understanding of option pricing theory and derivatives models.
Excellent written and verbal communication.
Risk- and control-minded with ability to escalate issues appropriately.
Proficiency in Python (NumPy, SciPy, Pandas, etc.).
Curious, ownership-driven, and teamwork-oriented mindset.

Responsibilities

Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures.
Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or benchmarks.
Evaluate the risks posed by non-transparent model parameters and/or non-linear relationships, and suggest ways to mitigate such risks.
Document the model review findings and communicate them to stakeholders.
Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and escalation issues to ensure that their resolutions are sound and timely.
Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm.
Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders.
Maintain the model inventory and model metadata for the coverage area.
Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards.