Model Risk Associate/Vice President
at J.P. Morgan
Posted 16 days ago
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Join the Model Risk Governance and Review Group to review and assess equity derivatives pricing models and strengthen model risk governance. You will analyze conceptual soundness of complex pricing models, develop alternative benchmarks and performance metrics, and liaise with model developers, trading desks, and risk professionals. The role requires strong quantitative skills, programming proficiency in C/C++ and Python, and an ability to communicate and work collaboratively across teams.
- Compensation
- Not specified
- City
- London, New York City, Mumbai, Paris
- Country
- United Kingdom, United States, India, France
Currency: Not specified
Full Job Description
Location: LONDON, LONDON, United Kingdom
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 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
