JPMorgan Quantitative Research – Exchange Traded Fund 

United States, New York 

678090517

Quantitative Research – Exchange Traded Fund (ETF) Market Making - Vice President

As an ETF Market Making Vice President, you will work in areas such as electronic trading, programming, and applied mathematics, with a keen interest to apply these techniques to financial markets and have a transformational impact on the business. The broad objective is to drive and implement the automation of electronic market making for the ETF business, including quoting and hedging, risk management, and alpha research. This position requires extensive use of data analytics, statistical techniques, and computer programming.

Job Responsibilities:

• Work closely with trading to build analytics and data-driven processes that automate and optimize trading quantitatively, with special focus on ETF trading.
• Contribute from idea generation to production implementation: perform research, design prototype, implement analytics and trading algorithms, support their daily usage and analyze their performance
• Develop pricing models for market making activities taking into consideration alpha signals, quantitative features, and historic behavior using statistics, machine learning or heuristics.
• Work with the business to recycle risk and devise hedging strategies accordingly.

Required Qualifications, Capabilities and Skills:

• Strong quantitative background, as well as practical problem-solving skills;
• Strongly interested in ETF markets, and electronic trading; and have previous exposure to the financial industry;
• Work closely with trading desks, understanding their business, and have a strong mind-set of ownership to have an impact on the way they operate;
• Demonstrate proficiency in code design and programming skills, with primary focus on Python, KDB, C++ or Java in an commercial environment;
• Have practical data analytics skills on real data sets gained through hands-on experience, and are able to handle and analyze complex, large scale, high-dimensionality data from varying sources;
• Quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;
• Think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things;
• Excellent communication skills, both verbal and written, can engage and influence partners and stakeholders.

Preferred Qualifications, Capabilities and Skills:

• Strong graduate degree (MS or PhD) in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Economics, …);
• Direct Experience with electronic trading or market making, and knowledge of trading algorithms;
• Knowledge of ETF markets or basis trading, in particular index products and models, is a plus, but not strict requirement;
• At least 1 to 3 years’+ experience in finance: electronic trading, portfolio analytics (risk modelling, portfolio optimization, synthetic trading, ETF trading), trading strategies (high to low frequency: market making, statistical arbitrage, option trading…), or derivatives pricing and risk management
• Strong expertise in statistics and machine learning in financial industry, working knowledge of portfolio risk modelling and optimization;
• Robust testing and verification practices;