Ultra-Low-Latency Index Options Quant Trader

Trading Interview; Chicago, Northern (IL, KY); Hybrid; USD 225,000 - 275,000; Full time

Job summary

IMC Trading is seeking an Index Options Low-Latency Execution Quantitative Trader to join our team in Chicago. The role spans deep trade analysis, execution-system improvement, and early ownership of a defined part of the strategy.

You'll work with traders, quant researchers, and developers to drive revenue through high-performance electronic execution, using Python for analysis and backtesting on large datasets. A strong quantitative background and ownership mindset are essential.

Qualifications

• 2+ years of experience in low-latency index options execution.
• Strong understanding of exchange microstructure and automated trading systems.
• Entrepreneurial mindset with ownership and bias toward action.
• Ability to perform efficient analysis on large datasets in Python.
• Strong communicator across trading, research, and development teams.

Responsibilities

• Drive revenue in low-latency index options trading by improving electronic execution systems.
• Deliver high-quality analysis using datasets including options pricing, trades data, and exchange feeds.
• Dive into trade examples to understand system behavior, identify anomalies, and quantify opportunities.
• Use backtesting and analysis tools to predict the impact of changes and improve performance.
• Collaborate with traders, quant researchers, and developers to bring ideas from inception to production.
• Take early ownership of a defined area of the strategy and grow to plan multi-month improvements.

Skills

Low-latency trading

Python analysis

Quantitative methods

Cross-team communication

Ownership mindset

Education

Graduate or post-graduate in mathematics, computer science, statistics

Tools

Backtesting frameworks

Job description

IMC Trading is seeking an Index Options Low-Latency Execution Quantitative Trader to join our team in Chicago. The role spans deep trade analysis, execution-system improvement, and early ownership of a defined part of the strategy.

You'll work with traders, quant researchers, and developers to drive revenue through high-performance electronic execution, using Python for analysis and backtesting on large datasets. A strong quantitative background and ownership mindset are essential.