CIB QR – Quantitative Research Equities Systematic Trading – Vice President

JP Morgan Chase 
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/. 

Position:
Role in the Equity Quantitative Research team, focusing on the optimization of trading for the automated equity derivatives market making desk and the development of  the market making platform.
 
Quantitative skills are at the core of J.P. Morgan’s capabilities, contributing critically to the competitiveness and innovative power of our firm. The team’s mission is to develop cutting-edge next generation analytics and processes to transform, automate and improve the trading operations of our Cash, Delta One and Derivatives businesses. We work closely with traders to develop data-driven solutions such as algorithmic strategies (high to low frequency), trading signals, risk models, portfolio optimization, recommendation engines, flow categorization and clustering – and to ultimately combine them into automated trading processes.
 
We are seeking individuals passionate in areas such as electronic trading, machine learning, option pricing, optimization, computational statistics, and applied mathematics, with a keen interest to apply these techniques to financial markets and have a transformational impact on the business.
 
Roles and responsibilities include
Work closely with trading to build analytics and data-driven processes that automate and optimize trading quantitatively
Develop pricing models for the Warrants Market Making business
Contribute from idea generation to production implementation: perform research, design prototype, implement analytics and strategies, support their daily usage and analyse their performance
Leverage on a wide range of modern techniques such as optimization (linear, quadratic, conic…), reinforcement learning, neural networks, time-series forecasting, clustering methods, dimensionality reduction methods (PCA, Kernel methods, factor models…)
Required Skills and Experience:
 
The ideal candidate will have:
Earned a MS, PhD or equivalent degree program in quantitative finance, machine learning, mathematics, statistics, econometrics, financial engineering, computer science, operational research, physics or chemistry
Publications or experience in applied mathematics, statistics, optimization, computer science or data science (machine learning, reinforcement learning, computer vision, NLP…)
Exceptional analytical, quantitative and problem-solving skills, as well as the ability to communicate complex research in a clear and precise manner

Entrepreneurial spirit and passion for spreading a culture of change towards data-driven decision making
Strong software design and development skills using C++, Python or Java
Experience in finance: electronic trading, portfolio analytics (risk modelling, portfolio optimization), trading strategies (high to low frequency: market making, statistical arbitrage, option trading…), derivatives pricing and risk management
Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources Autonomy, excellent communication, strong motivation and interest in electronic trading and equity markets