Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management. As a global team,Quantitative Research partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls. As a Quantitative Research Associate in JP Morgan's Quantitative Research (QR) - Rates Modeling team, you will be part of a global team that partners with traders, marketers, and risk managers across all products and regions. You will contribute to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls. Your role will be focused on Interest Rate and Interest Rate Hybrids business, performing periodic review of the models, documenting model specifications, and working with the global Quant Research Rates teams to develop, maintain and enhance pricing and risk models for different Rates derivative products. Job Responsibilities: Perform periodic review of the models, including thorough analysis and testing of the model behavior and implementation Document model specification, implementation and model review results, along with any model limitations, for submission to Model Risk Governance and Review (MRGR) team Work with MRGR team to address their queries regarding model reviews and remediate any model risk issues raised, ensuring successful review outcome Implement ongoing performance monitoring of the models and help with investigating/ remediating any model performance issues identified Work with the global Quant ResearchRates teams to develop, maintain and enhance pricing and risk models for different Rates derivative products Required qualifications, capabilities, and skills Good programming skills in Python/ C++ Strong analytical and problem solving abilities Understanding of advanced mathematics used in derivatives modelling, such as probability theory, stochastic processes, partial differential equations, andnumerical analysis Good communication skills, both oral and written Preferredqualifications, capabilities, and skills : Masters/ PhD or equivalent degree preferred from top tier schools/programs in Mathematics, MathematicalFinance, Physics or Engineering Experience with Interest rates / hybrids models Knowledge of financial products, especially IR derivatives, IR exotics etc.
