# Quantitative Trading Strategist - Equity Options at IMC Trading

> United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Aimc%3A4792587101 (read 2026-11-05).

## Facts (observed)

- Company: [IMC Trading](https://alderhq.app/companies/imc-trading)
- Location text: Chicago, United States; Chicago
- Where it can be done from (inferred): United States (evidence: "Location: Chicago, United States; Chicago")
- Posted: 2026-02-27 (251 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.eu.greenhouse.io/imc/jobs/4792587101
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: $250k–$250k per year (from the description)
- Market band for similar posted roles (Chicago, n 457): p25 $66k, median $98k, p75 $150k
- Recognised sponsor (NL): registered as "IMC Trading B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))

## Description (the employer's text)

IMC is seeking experienced quantitative professionals to join our US Equity Options market-making business. We are a leading scaled liquidity provider in US equity options, operating a large-scale systematic trading platform spanning thousands of underlyings. Our platform integrates quantitative research, trading strategy development, and production engineering within a collaborative, non-siloed environment across trading, research, and development teams.

This role focuses on improving how automated trading decisions are designed, evaluated, and deployed in live markets. You will work at the intersection of quantitative research, execution, and risk management to enhance pricing quality, execution performance, and overall system robustness. Improvements influence the broader platform rather than a single seat, providing meaningful ownership and impact from day one. Compensation is competitive and aligned with individual contribution.

### Your Core Responsibilities

- Develop and refine quantitative models that improve pricing, execution, and risk management.
- Analyze large-scale market and trading datasets to identify structural improvements.
- Design, test, and deploy strategy enhancements into production systems.
- Collaborate closely with traders, researchers, and engineers to iterate on live trading logic.
- Contribute to scalable solutions that impact a broad universe of equity options products.
- Drive research from idea generation through backtesting, implementation, and real-time monitoring.
### Your Skills and Experience

- 3+ years of experience in quantitative research, systematic trading, or market microstructure-focused roles.
- Experience working with exchange-traded products, ideally equity options.
- Strong understanding of market structure and trading system behavior.
- Demonstrated ability to conduct rigorous analysis on large, real-world datasets.
- Strong programming skills (Python required; C++ or similar preferred).
- Experience integrating research into production trading systems.
- Background in statistics, probability, time series analysis, or optimization is strongly preferred.
The Base Salary 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

$250,000

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aimc%3A4792587101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.