Position: Quantitative Trading Researcher

Worksite: Chicago, IL

Position ID: 20385

Responsibilities:

• Work with traders and software engineers to develop trading strategies through data analysis and modeling;
• Develop statistical and mathematical models of markets;
• Create Front-End web tools and large database management tools to assist traders;
• Develop risk management and trade filtering tools;
• Develop, test, and monitor options trading strategies; test the robustness of hypotheses proposed by the trading desk;
• Create research infrastructure to analyze intraday option data to gain insights of volatility behavior;
• Create framework to analyze and assess trading strategies using performance from backtest and simulation results;
• Develop volatility trading strategies;
• Create general framework to test trading strategies;
• Perform research and development of trading strategies;
• Apply quantitative techniques to large datasets;
• Research intraday future and option data for developing profitable trading strategies.

Requirements:

• Master’s degree in Engineering, Computer Science, Applied Mathematics, or a related quantitative field
• 2 years of experience developing financial risk management tools and delivering research results to support trading strategies

Experience must include:

• Creating front end web tools
• Working with large scale datasets including intraday option data
• Implementing mathematical models of markets
• Analyzing, testing and implementing trading strategies
• Automating daily tasks using Python
• Pricing of American options on futures using Black Sholes model and OU stochastic volatility models

TO APPLY: Please send resume to [email protected] and reference Position ID 20385.