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Quant Model Risk Vice President - Rates
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-01-24
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-01-24
Job specializations:
-
Finance & Banking
Financial Consultant, Data Scientist, Economics
Job Description & How to Apply Below
Overview
We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm.
As a Quant Model Risk Vice President in the Interest Rates team, you will assess and help mitigate the model risk of complex models used in the context of valuation and risk measurement for Interest Rate derivatives. Additionally, you will have exposure to a variety of business and functional areas as well as will work closely with model developers and users.
You will also have managerial responsibility to oversee, train and mentor junior members of the team.
Responsibilities- Carries out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures
- Provides guidance on model usage and act as first point of contact for the business on all new models and changes to existing models
- Develop and implement alternative model benchmarks and compare the outcome of various models;
Design model performance metrics - Liaises with model developers, Risk and Valuation Control Groups and provide guidance on model risk
- Evaluates model performance on a regular basis
- Manage and develop junior members of the team
- 5+ years of experience in a FO or model risk quantitative role
- Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis
- MSc, PhD or equivalent in a quantitative discipline
- Inquisitive nature, ability to ask right questions and escalate issues
- Excellent communication skills (written and verbal)
- Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives)
- Good coding skills, for example in C/C++ or Python
- Experience with interest rates derivatives
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