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Quantitative Researcher - Options

IMC Open · verified Oct 24, 2026
Chicago Mid-level Data Science

At a glance

Mid-level Data Science role at IMC. Chicago · $250,000–$300,000 base.

SalaryStated by IMC
$250,000 – $300,000
Base salary for this role, in USD per year, as published in the posting.
This role, from IMCOur estimate for the market: $100,350–$187,788Median $122,193
Above the market median of $122,193 for mid-level data science roles in Chicago.
Worked out from 14 postings that stated pay, median $122,193. Last updated Oct 20, 2026.
RoleData Science
SeniorityMid-level
LocationChicago
Base pay$250,000–$300,000
PostedFeb 6, 2024 · 2y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Review current algorithms with traders and researchers to find where changes could improve results
  • Use systems knowledge, mathematics and trading insight to pinpoint upgrades to the trading system
  • Research, test and prototype algorithm ideas quickly, preferably using Python
  • Carry promising ideas through implementation and into live trading
  • Guide graduate quantitative researchers and lead projects

What you bring

  • A master's or doctorate in a quantitative discipline
  • At least five years working in financial services or another quantitative setting
  • A track record in quantitative modeling, algorithm development and options pricing
  • Strong programming ability; Python, Java or C++ are preferred
  • Experience managing projects or people

Who this fits

This mid-level role suits a senior researcher ready to lead projects and mentor junior colleagues. It is based in Chicago.

From the employer

IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will join the team as a senior member with the expectation of leading projects and mentoring juniors. Skills and responsibilities listed below.

Your Core Responsibilities:

  • Collaborate with the trading and quantitative research team to evaluate existing algorithms
  • Combine knowledge of systems, mathematical techniques and trading to identify the best places to improve our trading system
  • Rapidly research, test, and prototype new algorithmic ideas, preferably with Python.
  • See through the high-quality implementation of ideas to full-scale production trading.
  • Mentor graduate quantitative researchers

Your Skills and Experience:

  • Ms or PhD in a highly quantitative field
  • At least 5 years in financial services or a quantitative environment
  • Experience in project or people management
  • Strong programming skills, Python, Java or C++ preferred
  • Proven success in quantitative modelling and algorithm development
  • You have experience with options pricing

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—$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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$250k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.