Assistant Manager, Model Validation Quant
$82,936–$92,151 year
Hybrid · London, England, United Kingdom
Job Summary
Assistant Manager, Model Validation Quant at Lloyds Banking Group in London. Responsible for in-depth theoretical assessments of pricing models across asset classes, independently benchmarking Front Office pricing models using C++ and Python, conducting qualitative analyses and stress tests, and compiling comprehensive validation reports with findings and recommendations. Contributes to developing and maintaining internal tools to support the model validation process. Requires a Master’s degree or higher in a quantitative field, strong knowledge of derivative pricing models, stochastic calculus, PDEs, and Monte Carlo methods, and programming experience in C++/Python. Excellent problem-solving, time management, and communication skills; ability to work independently and meet deadlines. Prior experience in Model Validation or Front Office Quant is advantageous. Hybrid working arrangement in London with at least 2 days per week on-site.
Required Qualifications
- Master's degree or higher in a quantitative discipline (e.g., Mathematics, Physics, Quantitative Finance) or equivalent experience
- Solid theoretical understanding of derivative pricing models, stochastic calculus, partial differential equations and Monte Carlo methods
- Programming experience in C++ and/or Python
- Strong problem-solving and time management skills
- Excellent written and verbal communication skills, ability to articulate complex mathematical concepts clearly
- Ability to work independently, meet deadlines, and perform under time pressure
- Prior experience in a Model Validation or Front Office Quant role (preferred)
- Familiarity with regulatory expectations related to model risk
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