E-Markets [Multiple Positions Available]

JPMorgan Chase & Co.•New York, NY

6d•Onsite

About The Position

This role involves leading the design and implementation of automated systems for options pricing, hedging, and quoting, with a focus on improving speed and accuracy. The position also serves as a technical lead for building analytical tools for live volatility trading analysis and historical research backtesting. Responsibilities include developing sophisticated algorithms to aid trading decisions through intensive research on volatility signals and applying optimization techniques. The role entails leading automated options pricing systems for North America, extending coverage to the Index desk for pricing, quoting, and model development, and providing daily desk support for operational issues. Collaboration with the trading desk, research team, and development technology team is essential.

Requirements

Ph.D. in Engineering (any), Mathematics, Statistics, Financial Engineering, Computer Science, Operation Research or related field of study plus 3 years of experience in the job offered or as E-Markets, Quantitative Research Associate, Data Scientist or related occupation.
Experience with Artificial intelligence, machine learning, and statistical methods as applied to financial markets.
Experience with Quantitative techniques for risk modeling, transaction cost analysis, and volatility modeling.
Experience developing and implementing parametric implied volatility models and stochastic local volatility models.
Experience conducting signal optimization.
Experience designing and building complex quantitative models using programming languages such as Python, KDB or C++.
Experience using Python, Pytorch, and Sklearn to implement machine learning algorithms, develop analytics pipelines, and support research infrastructure.
Experience using machine learning techniques (including Linear Regression, decision trees, clustering, and neural networks) and programming packages (including Sklearn, TensorFlow, and statsmodels) to solve problems related to financial modeling, analyze financial and alternative datasets, and communicate quantitative findings through written reports or presentations.

Nice To Haves

Master's Degree in Engineering (any), Mathematics, Statistics, Financial Engineering, Computer Science, Operation Research or related field of study plus 5 years of experience in the job offered or as E-Markets, Quantitative Research Associate, Data Scientist or related occupation.

Responsibilities

Lead the design and implementation of automated systems for options pricing, hedging, and quoting, emphasizing enhancements in speed and accuracy.
Serve as technical lead for analytical tool building for both live volatility trading analysis and historical research backtesting framework.
Provide sophisticated algos to help drive trading decisions with intensive research on volatility signals and applying optimization techniques.
Lead automated options pricing systems for North America, expanding coverage to the Index desk with responsibilities in pricing, quoting, and model development.
Provide daily desk support for operational issues.
Collaborate closely with trading desk, research team, and development technology team.