Markets Strats - Senior Rates Pricing Quant - First Line Model Review
Listed on 2026-09-27
-
Finance & Banking
AI Evaluation, Data Scientist
Job Title:
Senior Rates Pricing Quant – First Line Model Review
Location:
London (Hybrid: 3 days/week in-office)
Contract Duration: 6-month
Role Summary
Sitting directly in 1st Line Core Strats, this role provides immediate impact on shaping and challenging non-linear Rates pricing models. The successful candidate will act as a senior quantitative modeller, conducting technical reviews, developing benchmark test suites in Python, and refining model documentation in LaTeX prior to formal 2nd line validation submission.
ResponsibilitiesWe are seeking a modeller rather than a software developer. The successful candidate should be able to:
Review and challenge model documentation, ensuring technical accuracy, completeness, and clarity.
Assess the appropriateness of modelling assumptions, methodologies, calibration approaches, sensitivities’ computation, limitations, and controls.
Run and analyse existing model performance tests against production pricing libraries.
Design and implement new quantitative tests to assess model behaviour, model limitations, numerical stability, calibration quality, and risk sensitivities.
Investigate unexpected model behaviour and support root-cause analysis.
Ensure the model and its documentation are fit for purpose (e.g. EOD, FVA, PVA).
Ensure the documentation is fit for submission to the independent validation team.
Help minimise validation findings by identifying and addressing weaknesses before formal validation review.
Produce high-quality technical documentation in LaTeX.
If relevant, design and implement alternative components or enhancements in Python, thus providing benchmark approaches to support the assessment of model assumptions and limitations.
If warranted, debug and analyse production C++ model implementations.
Act as a senior quantitative representative across the model lifecycle.
Interact confidently with traders, quantitative developers, model validators, market risk, product control, audit, and model risk management teams.
Communicate complex quantitative issues clearly to both technical and non-technical audiences.
Years of experience in non-linear Rates pricing models, with demonstrated expertise in model development and/or validation/review of term structure models and exotic instruments.
Strong understanding of Rates derivatives modelling, particularly for callable and path-dependent products.
Quantitative background in applied mathematics, financial mathematics, quantitative finance, or a closely related discipline.
Proven experience assessing model methodology, assumptions, limitations, calibration approaches, sensitivities’ computation, and model performance.
Ability to understand and challenge modelling choices and articulate their impact on pricing, risk, hedging, reserves, and governance decisions.
Candidates should have experience with a significant subset of the following: CMS and CMS Spread products, Bermudan swaptions and callable rates products, LMM (Libor Market Model), Hull-White models, HJM frameworks, Cheyette models;
Local volatility models, Forward volatility modelling, stochastic volatility models, SA and volatility surface construction.
Rates, Hybrid Rates/FX, Rates/Credit or Rates/Equity models.
Inflation, Munis.
Model validation or model documentation as a developer.
Python and/or C++ implementation experience.
Design and assessment of model reserves and adjustments relating to model limitations.
The focus is on pricing models rather than interest-rate curve construction roles, counter party credit risk (CCR/XVA) modelling, market risk capital or stress-testing models, risk analytics roles, software engineering roles, trading or structuring…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).