Systematic Index Options Trader
$250,000–$250,000 year
On-site · Chicago, Illinois, United States
Job Summary
Role focuses on driving revenue in low-latency index options trading by enhancing electronic execution systems, performing backtests and analyzing datasets to quantify opportunities, and collaborating with traders, quant researchers, and developers to bring ideas from inception to production. Takes early ownership of a defined area of the strategy and grows into multi-month improvement planning; requires 2+ years in low-latency index options execution, strong Python data-analysis skills, and knowledge of exchange microstructure.
Required Qualifications
- 2+ years of experience in low-latency index options execution, including liquidity providing and taking
- Strong understanding of exchange microstructure and how automated trading systems interact with exchanges
- Entrepreneurial mindset with a competitive nature, strong ownership mentality, and a bias toward action
- Ability to perform efficient analysis on large datasets in Python
- Preference for relevant tertiary qualifications (graduate or post-graduate) in a quantitative field: mathematics, computer science, statistics, or similar, with strong academic results
- Strong communicator, able to collaborate effectively across trading, research, and development teams
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