If you are passionate, curious and ready to make an impact, we are looking for you. 

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 equities, ETF, and Delta One Swaps business. We work closely with traders to develop data-driven solutions such as risk models, portfolio optimization, trading signals, flow categorization and clustering, custom basket solutions and to ultimately combine them into automated trading processes.

Job summary: 

As a Vice President in Quantitative Research, Cash Equities Analytics, Automation and Optimization team, you will work closely with trading to build analytics and data-driven processes that automate and optimize trading quantitatively, with special focus on delta one   synthetics trading. We are seeking individuals passionate in areas such as electronic trading, 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. 

Job responsibilities

Work closely with trading to build analytics (single instrument and portfolio) and data-driven processes that automate and optimize trading quantitatively, with special focus on delta one   synthetics tradingContribute from idea generation to production implementation: perform research, design prototype, implement analytics and strategies, support their daily usage and analyse their performanceDevelop pricing models for client activities taking into account profiles, quantitative features, and historic behaviour using statistics, machine learning or heuristicsWork with the business to centralize risk and devise hedging strategies accordingly

Required qualifications, capabilities, and skills

You have degree in a quantitative field (or equivalent) in Mathematics, Physics, Statistics, Economics, PhD degree preferred You have excellent communication skills, both oral and writtenYou demonstrate entrepreneurial spirit and passion for spreading a culture of change towards data-driven decision makingYou demonstrate exceptional analytical, quantitative and problem-solving skills, as well as the ability to communicate complex research in a clear and precise mannerYou demonstrate strong software design and development skills using Python, C++ or JavaYou have ability to manipulate and analyse complex, large scale, high-dimensionality data from varying sources, understanding and working knowledge of trading data and how to manage it You demonstrate 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), derivatives pricing and risk management

Preferred qualifications, capabilities, and skills

You demonstrate KDB/q experience