A Proprietary Equity trading firm in Chicago is looking for a Quantitative Research Analyst to join a small quantitative research team that builds and enhances algorithmic trading strategies for its automated trading activities. The candidate will work closely with Portfolio Managers to research, backtest, implement, and monitor profitable low- and high-frequency statistical arbitrage trading strategies for equities

Responsibilities:

• Develop new algorithmic trading strategies
• Work closely with the Portfolio Managers to research, backtest, implement, and monitor profitable low- and high-frequency statistical arbitrage trading strategies for equities
• Development, research, maintenance and risk management of quantitative high frequency automated equity trading strategies.
• Design, calibrate and analyze quantitative pricing, trading and risk control for algorithmic strategies.
• Improve the performance of existing strategies with techniques from machine learning and statistics
• Develop statistical tools to manage models and for portfolio optimization.
• Work closely with Portfolio Managers on trading ideas and model enhancements
• Work closely with software teams on functional requirements, documentation and model testing

Requirements:

• Advanced Quantitative Degree in Statistics or Math
• Must have 5+ years of financial markets model development experience
• Programming-Python preferred or other scripting languages (R, Matlab), SQL databases
• Experience working on algorithmic/automated trading models

Keywords: High Frequency, Equity, Trading Strategist, Statistical Modeling, Automated Trading, Risk Management, Portfolio Optimization

Please send resume to Jim Geiger