A quantitative role in model risk management for financial models, focusing on assessing and mitigating model risks across complex pricing, valuation, and risk measurement models in the interest rates domain.
This role involves conducting comprehensive model reviews for complex pricing models and financial engines, analyzing conceptual soundness, assessing model behavior, and evaluating suitability for specific financial products and structures. The associate will perform in-depth assessments of mathematical and statistical models used in financial decision-making.
Candidates must possess exceptional quantitative skills with a strong academic background, typically a MSc or PhD in a quantitative discipline. Essential requirements include advanced knowledge of probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis. Proficiency in coding languages like Python or C/C++ is crucial, along with deep understanding of option pricing theory and derivatives modeling.
JPMorgan Chase offers a dynamic professional environment with opportunities for career growth, exposure to complex financial challenges, and the chance to work with cutting-edge financial modeling techniques. The role provides a platform for quantitative professionals to apply advanced mathematical skills in real-world financial risk management, with potential for significant professional development and impact within a global financial institution.