Assistant Manager, Model Validation Quant

End Date: Thursday 25 June 2026Salary Range: £65,304 – £72,560Location: LondonHours: Full-time

Job Overview

Assistant Manager, Model Validation (Quant)

We support flexible working – discover more about flexible options.

Day-to-day responsibilities

• Deliver in-depth theoretical assessments of pricing models across various asset classes.
• Independently benchmark Front Office pricing models using C++ and Python.
• Perform qualitative analyses and stress tests to measure model performance.
• Compile comprehensive validation reports that detail findings and recommendations.
• Develop, enhance, and maintain internal tools that support and streamline the model validation process.

Qualifications

• Master’s degree or higher in a quantitative discipline (e.g., Mathematics, Physics, Quantitative Finance) or equivalent experience in a quantitative role.
• Solid theoretical understanding of derivative pricing models, stochastic calculus, partial differential equations, and Monte Carlo methods.
• Excellent problem‑solving, time‑management, and communication skills.
• Ability to work independently, meet deadlines, and perform well under time pressure.
• Experience in a Model Validation or Front Office Quant role (preferred).
• Programming experience in C++ and/or Python, including library architecture design.
• Strong understanding of financial derivatives and risk modelling, with ability to critically evaluate model performance.
• Familiarity with regulatory expectations related to model risk.

Benefits

• Generous pension contribution up to 15%
• Annual performance‑related bonus
• Share schemes including free shares
• 28 days holiday plus bank holidays
• Wellbeing initiatives and generous parental leave policies
• Flexible arrangements for colleagues with disabilities

Equal Opportunities

We offer reasonable workplace adjustments for colleagues with disabilities and are a Disability Confident Leader, guaranteeing fair interviews for eligible candidates. We celebrate diversity and encourage applicants from all backgrounds.

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