Quant Model Risk Analyst/Associate - Equities

🏢 JP Morgan
📍 LONDON, United KingdomFull-timeOn-site
📅 Posted: 4mo ago🔄 Updated: 4mo ago
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✨ AI Summary
The Model Risk Governance and Review Group (MRGR) is seeking a Quant Model Risk Analyst/Associate for their Equities team. This role involves analyzing the conceptual soundness of complex pricing models and reserve methodologies, developing alternative model benchmarks, and liaising with model developers and trading desks. The position requires a strong foundation in probability theory, stochastic processes, statistics, numerical analysis, and quantitative models for derivatives, as well as proficiency in C/C++ and Python. The ideal candidate will possess an MSc or equivalent degree and have experience with Monte Carlo and numerical methods. Strong analytical and problem-solving abilities, coupled with excellent communication and teamwork skills, are crucial for success in this dynamic environment. Experience with equity derivatives is preferred.
Requirements
The ideal candidate will have an MSc or equivalent in a relevant field, with excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives, including experience with Monte Carlo and numerical methods, is required. Proficiency in C/C++ programming and Python, along with strong analytical, problem-solving, and communication skills, is essential.
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, and Paris, 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

  • Analyze the conceptual soundness of complex pricing models and reserve methodologies.
  • Develop and implement alternative model benchmarks and performance metrics.
  • Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage.
  • Maintain model risk control apparatus and 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 Monte Carlo and numerical methods.
  • Strong analytical and problem-solving abilities.
  • MSc or equivalent in a relevant field.
  • Proficiency in C/C++ programming and Python.
  • 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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🔥 Motivationi78%
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Title Fit: 78.00