Quant Model Risk Associate - Rates

🏢 JP Morgan
📍 LONDON, United KingdomFull-timeOn-site
📅 Posted: 3mo ago🔄 Updated: 3mo ago
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✨ AI Summary
The Quant Model Risk Associate - Rates position is within the Model Risk Governance and Review Group, responsible for end-to-end model risk management. The role involves assessing and mitigating model risk for complex models used in valuation, risk measurement, capital calculation, and decision-making. Key responsibilities include conducting model reviews, assessing conceptual soundness, providing guidance on model usage, developing model benchmarks, designing performance metrics, and liaising with model developers and control groups. Required qualifications include excellence in quantitative fields like probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis, along with an MSc, PhD, or equivalent in a quantitative discipline. Candidates should possess good understanding of option pricing theory, strong coding skills in C/C++ or Python, excellent communication abilities, and an inquisitive nature. Preferred qualifications include experience with Rates derivatives and in a Front Office or model risk quantitative role.
Requirements
Requires excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis. Must have an MSc, PhD, or equivalent in a quantitative discipline, with good understanding of option pricing theory and coding skills in C/C++ or Python. Strong communication and inquisitive nature are essential.
Description

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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⚡ Skillsi85%
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Ontology Match: 85.0
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