Model Risk Program Analyst/Associate

🏢 JP Morgan
📍 LONDON, United KingdomFull-timeOn-site
📅 Posted: 4mo ago🔄 Updated: 4mo ago
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✨ AI Summary
The Model Risk Program Analyst/Associate role within J.P. Morgan's Model Risk Governance and Review Group (MRGR) focuses on assessing and mitigating model risks, particularly for equity derivatives models. Responsibilities include analyzing the conceptual soundness of pricing models, developing alternative benchmark models, and liaising with model developers, trading desks, and risk professionals. The role requires a strong foundation in probability theory, stochastic processes, statistics, numerical analysis, and quantitative models for derivatives, along with experience in numerical methods (Monte Carlo, PDE) and programming proficiency in Python and C++. An MSc or equivalent in a relevant field is mandatory. The position is ideal for individuals with an inquisitive nature, strong analytical and communication skills, and a teamwork-oriented mindset.
Requirements
Requires excellence in probability theory, stochastic processes, statistics, and numerical analysis, with a strong understanding of option pricing theory and quantitative models for derivatives. Experience with numerical methods like Monte Carlo and PDE, proficiency in Python and C++, and strong analytical, problem-solving, and communication skills are essential. An MSc or equivalent in a relevant field is required.
Description

Are you ready to make a significant impact in the world of model risk management? At Model Risk Governance and Review Group (MRGR), we are at the forefront of assessing and mitigating model risks across the globe. With a presence in major financial hubs like New York, London, Mumbai, Paris, and Hong Kong, our team collaborates with top professionals in Risk, Finance, and Model Development. This is your chance to work in a dynamic environment, gain exposure to various business areas, and contribute to critical decision-making processes.

 

As a Model Risk Analyst/Associate in the Model Risk Governance and Review team, you will play a crucial role in reviewing equity derivatives models and enhancing model risk governance. You will collaborate with model developers, trading desks, and risk professionals to ensure the soundness and suitability of complex pricing models. Together, we will drive innovation and maintain robust model risk controls.

 

Job responsibilities

  • Analyse the conceptual soundness of complex pricing models and reserve methodologies.
  • Develop and implement alternative benchmark models.
  • Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage.
  • Serve as the first point of contact for the coverage area.

 

Required qualifications, capabilities, and skills

  • Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
  • Strong understanding of option pricing theory and quantitative models for derivatives.
  • Experience with numerical methods such as Monte Carlo and PDE.
  • Strong analytical and problem-solving abilities.
  • MSc or equivalent in a relevant field.
  • Proficiency in Python and C++ programming.
  • Inquisitive nature with excellent communication skills.
  • Teamwork-oriented mindset.

 

Preferred qualifications, capabilities, and skills

  • Experience with equity derivatives.

 

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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00