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Salary
≈ $66k – $156k per year (Estimated)
Location
In office (London)

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on May 22, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

We are looking for a new member to join our 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 Associate in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional area as well as will work closely with model developers and users.

Job 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

Required qualifications, capabilities, and skills

  • 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

Preferred qualifications, capabilities, and skills

The following additional items will be considered but are not required for this role:

  • Experience with Rates derivatives
  • Experience in a FO or model risk quantitative role.
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