IMC

Financial Services

SystematicIndexOptionsTrader

$250–250k Chicago, Illinois, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Systematic Index Options Trader at IMC. Skills: Index options trading, Low-latency execution, Quantitative analysis. Drive revenue in low-latency index options trading. Build electronic execution systems”

Industry & Context.

Financial Services
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

2+ years low-latency index options execution, 2+ years liquidity providing, 2+ years liquidity taking

Nice to Have

Graduate degree in quantitative field, Post-graduate degree in quantitative field, Academic results in quantitative field

What You'll Do.

Drive revenue in low-latency index options trading

Build electronic execution systems

Improve electronic execution systems

Deliver high-quality analysis

Analyze options pricing data

Analyze exchange feed data

Understand system behavior

Quantify opportunities

Use backtesting tools

Predict impact of changes

Take ownership of strategy area

Grow into setting improvement plans

How You'll Work.

Team & Collaboration

Collaborative between traders; Collaborative with quant researchers; Collaborative with developers

Full Job Description

We are looking for an Index Options Low-Latency Execution Quantitative Trader to join our team. IMC's Index Options desk is one of the leading electronic liquidity providers in index options markets. Our execution team is responsible for getting IMC into the trades we want to participate in, across a range of mechanisms. Our ultra-low latency infrastructure is best-in-class, and because IMC is highly collaborative between traders, quant researchers, and developers, the scope of this role spans deep trade analysis, execution system improvement, and early ownership of a defined part of the strategy. Your Core Responsibilities: Drive revenue in low-latency index options trading by building upon and improving our electronic execution systems Deliver high-quality analysis using a variety of datasets, including options pricing, trades data, and exchange feed Dive into specific trade examples to understand the behavior of our systems and those of our competitors, identify anomalies, and quantify opportunities Use backtesting and analysis tools to predict the impact of changes to our execution systems and continuously improve our performance Work collaboratively with traders, quant researchers, and developers to bring ideas from inception to production Take early ownership of a defined area of the strategy, for example a certain exchange or execution type, and grow into setting multi-month improvement plans Your Skills and Experience: 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 a

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