Our client is searching for a a Quant Trader for one of their profitable high frequency trading teams for the Chicago location. This individual will focus on automated trading strategy development and work directly with the team of traders.
Responsibilities:
- Design, testing, and deployment of automated trading strategies
- Collaborate with team members to build upon current trading strategies
- Analyze and research model performance, optimization, and new market opportunities
- Apply data analysis techniques along with real world trading experimentation to expose trade opportunities
Requirements:
- Basic product knowledge, understanding of trading methodology and market insight
- 1 year of prior trading experience is a plus
- Develop, test and support algorithmic trading strategies
- Degree in Statistics, Physics, Mathematics (or similar) highly preferred
- Experience working in quantitative research
- Working knowledge of game theory, forecasting and data mining techniques such as regression analysis, support vector machines, model optimization
- Comfortable development in Python, R, Matlab, kdb
- Analytic mindset with the ability to manage numerous research projects with ease
- Motivation and resourcefulness to quickly solve hard problems
- Excellent interpersonal skills with a desire to work / grow in a fast paced, collaborative, and entrepreneurial environment
