Quantitative Researcher – Equities

IMC; Chicago (IL); On-site; USD 250,000 - 300,000; Full time

Job summary

IMC is seeking experienced quantitative researchers to develop high-frequency, low-latency trading strategies and predictive models for equities and options. You will join a data-driven team that blends IMC’s options expertise with signals from equity markets to drive decisions across both asset classes.

Responsibilities include researching signals, testing ideas, and collaborating with developers to productionize robust trading systems in a fast-paced environment.

Qualifications

• 3+ years of experience as a quantitative researcher in equities or equity options.
• Experience generating equity signals and predictive models.
• Graduate or postgraduate degree with strong academic results in math, science, financial engineering or CS.

Responsibilities

• Understand current models/algorithms and build foundational improvements.
• Find innovative ways to monetize existing algorithms through data analysis.
• Rapidly research, test, and prototype new ideas, preferably with Python.
• Drive production-quality implementation of validated ideas in trading systems.

Skills

Quantitative research

Equities

Equity options

Predictive modelling

Python

Market making

Education

Graduate degree

Job description

IMC is looking for experienced quantitative researchers to develop high-frequency, low-latency equity trading strategies and predictive models. Candidates will join an effort of combining IMC’s extensive options expertise with signals in the underlying equity market. Candidates will be responsible for performing large scale data analysis to derive unique predictions of equity market behavior that will then be leveraged by IMC’s best-in-class technology to act on those predictions across both options and equities markets.

Once on board, candidates will join a growing team that will be essential to all aspects of IMC’s trading. They will contribute not only to signal generation but also work w/ developers in design and implementation of a robust framework that allows for new ideas to be researched, tested, and put into production in a timely manner.

Your Core Responsibilities:

• Understand the current suite of models and algorithms to make any short-term improvements while building a foundation to further leverage these models
• Find innovative ways to monetize existing algorithms through specific deep-dives and broad data analysis
• Rapidly research, test, and prototype new algorithmic ideas, preferably with Python
• Once validated, see through the high quality implementation of ideas to full-scale production trading

Your Skills and Experience:

• 3+ years experience as a quantitative researcher with specific experience in the equity option or equities space
• Experience with equity signal generation and predictive modelling. [required]
• Relevant tertiary qualifications (graduate or post graduate), with strong academic results, preference in mathematics, science, financial engineering or computer science
• Experience working on a market making system, preferably in a more automated environment [preferred]

Salary Range

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.

$250,000—$300,000 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.