Quantitative Research Analyst
- Develop Data Analytics, Artificial Intelligence and Machine Learning models, approaches and techniques for fixed income finance trading.
- Deliver analytics for historical back-testing and conducat research on market behaviors through statistical analysis.
- Provide on-site support to traders, control functions and other relevant teams: explain model behaviors and Profit and Loss (pnl)-prediction at request; conduct quick diagnosis on any reported model issue; identify major sources of risks in portfolio; carry out scenario analysis; facilitate new business/product structures, etc.
- Implement and maintain C++/Python analytics library; write well-formulated documents on testing and validation of models for internal and regulatory reviews/approval.
- Develop and maintain arbitrage-free financial models based on stochastic processes for pricing and risk management of interest rate derivatives.
- Advanced degree (PhD, Master or equivalent) in Mathematics, Math Finance, Physics, Engineering or other quantitative fields.
- Good understanding on advanced mathematical topics, e.g. statistics, linear algebra, numerical analysis, probability theory, stochastic calculus, partial differential equations etc.
- Strong engineering/scientific programming skills in C++/Python.
- Strong analytical and problem solving abilities.
- Strong communication skills, both oral and written.
- Knowledge or experience on interest rate modelling is a plus but not strictly required.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary
New York,NY $135,000.00 - $200,000.00 / year
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