Join our global team of modeling experts at JPMorgan's Risk Management and Compliance organization. As a Model Risk Quant Associate, you'll play a pivotal role in identifying, measuring, and mitigating model risks within the Counterparty Credit Risk space. This is your opportunity to leverage your technical expertise and intellectual rigor to make a significant impact on our firm's risk management strategies. Be part of a team that values innovation, collaboration, and excellence in model governance.

As a Model Risk Quant Associate - Counterparty Credit Risk within the MRGR Credit Portfolio team, you will lead the development and expansion of our benchmarking library and related tools. You will enhance the model validation team’s ability to conduct independent testing activities for models used in the CCR space. You will leverage your technical expertise to identify and assess model risks across various asset classes and end-usage models, ensuring fair valuation and effective credit risk management.

Job responsibilities:

Evaluate the conceptual soundness and implementation correctness of models.Design and implement experiments to measure ongoing model performance.Conduct periodic re-reviews to assess model performance.Collaborate with model developers, trading desks, and control functions to assess models' fit-for-purpose.Contribute to the development of the team’s independent benchmarking library.

Required qualifications, capabilities, and skills:

PhD or MS degree in quantitative areas such as Math Finance, Applied Math, Physics, Engineering, Statistics, or Econometrics.Solid command of probability theory, stochastic calculus, and numerical methods.Deep understanding of financial math and derivative pricing.Excellent analytical and problem-solving abilities.Strong communication skills, both written and verbal.Inquisitive nature with a risk and control mindset.Proficiency in programming languages, particularly Python.

Preferred qualifications, capabilities, and skills:

Experience in model validation or model development.Familiarity with Counterparty Credit Risk space and relevant models.