Role at a glance
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Chicago, United States
- Work arrangement
- On-site
- Experience
- 2+ years of experience in low-latency index options execution, including liquidity providing and taking
- Education
- Preference for relevant tertiary qualifications (graduate or post-graduate) in a quantitative field: mathematics, computer science,...
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Role Summary
The Index Options Low-Latency Execution Quantitative Trader improves electronic execution systems and analyzes trading behavior and performance. The role works with traders, quantitative researchers, and developers, and takes ownership of a defined area of the execution strategy.
What You'll Do
- Build upon and improve electronic execution systems for low-latency index options trading.
- Analyze options pricing, trade data, and exchange feeds.
- Investigate trade examples to understand system and competitor behavior, identify anomalies, and quantify opportunities.
- Use backtesting and analysis tools to predict the impact of execution-system changes and improve performance.
- Collaborate with traders, quantitative researchers, and developers to bring ideas from inception to production.
- Own a defined area of the strategy, such as an exchange or execution type, and develop multi-month improvement plans.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
2+ years of experience in low-latency index options execution, including liquidity providing and taking; strong understanding of exchange microstructure and automated trading systems' interactions with exchanges; ability to analyze large datasets efficiently in Python; entrepreneurial mindset, competitive nature, strong ownership mentality, bias toward action, and effective collaboration and communication across trading, research, and development teams.
Preferred
- Preference for relevant tertiary qualifications (graduate or post-graduate) in a quantitative field: mathematics, computer science,...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.
About the company
IMC Trading
Large Enterprise
IMC Trading is a global proprietary trading firm that leverages technology and quantitative research to optimize trading strategies across a variety of asset classes, including equities, commodities, and derivatives. Founded in 1989 and headquartered in Amsterdam, IMC operates with a commitment to innovation and collaboration, fostering an environment where talented professionals can thrive. The firm is dedicated to responsible trading practices and actively engages in market-making to ensure liquidity and efficiency in financial markets worldwide. With a focus on continuous improvement and data-driven decision-making, IMC Trading is a leader in the fast-paced world of trading and investment.