Systematic Index Options Trader

IMC

Chicago, ILFull-time$250K/yrPosted 5mo agoStill listed today

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At a glance

Compensation
$250K/yr
Location
Chicago, IL
Schedule
Full-time
Work Authorization
Not specified

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Job overview

IMC is seeking an Index Options Low-Latency Execution Quantitative Trader to improve electronic execution systems and analyze trading performance. The role spans trade analysis, execution-system improvement, and early ownership of a defined strategy area, with collaboration across traders, quantitative researchers, and developers. The posting prefers relevant graduate or postgraduate quantitative qualifications and strong academic results.

Skills & qualifications

RequiredNice to have

Skills

Low-Latency Index Options ExecutionLiquidity Providing and TakingExchange MicrostructureAutomated Trading SystemsPythonEntrepreneurial MindsetCompetitive NatureOwnershipBias Toward ActionCommunicationCollaboration

Qualifications

2+ Years Low-Latency Index Options ExecutionGraduate or Postgraduate Quantitative QualificationStrong Academic Results

Benefits

Paid Time Off
Medical Insurance

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 academic results

  • Strong communicator, able to collaborate effectively across trading, research, and development teams

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range $250,000—$250,000 USD

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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