Quantitative Trader (Job # ID: 00080674) (Tower Research Capital LLC; Chicago, Illinois): Design, implement, and deploy trading algorithms. Design trading strategies. Contribute to libraries of analytical computations to support market data analysis and trading. Create tools to analyze data for patterns. Explore trading ideas by analyzing market data and market microstructure for patterns. Develop, augment, and calibrate exchange simulators. Conduct research on signal and modeling to enhance prediction accuracy and investigate ways to refine execution algorithms in the market.

Part-time work from home benefits.

Minimum Requirements: Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, Engineering (any specialty field within Engineering is considered relevant) or a related quantitative field, plus one (1) year of experience in the position offered or related occupation.

Must have experience with the following:

• Mathematics and statistics;
• Back-testing, simulation, and statistical techniques including auto-regression, auto-correlation and Principal Component Analysis;
• Data-mining and analysis skills, including experience dealing with a large amount of data or tick data;
• Signal generation and statistical models; and
• Python or C++.

Salary: $150,000 - $250,000 per year

For full benefits visit: https://tower-research.com/careers/

Apply online at https://tower-research.com/open-positions/ or send resume to Tower HR at us-ta@tower-research.com & indicate job # ID 00080674.