Graduate Quant Researcher: Build & Deploy Trading Models

IMC; Chicago (IL); Sur place; USD 225 000 - 275 000; Plein temps

Résumé du poste

IMC Trading seeks a Quantitative Researcher in Chicago to contribute to trading strategies by applying advanced mathematical and computational methods. You will collaborate with Traders and Developers, building and deploying models and tools to explore new research ideas.

The role emphasizes rigorous data analysis, teamwork, and problem solving in a high-performance environment. You’ll have opportunities to take ownership from the start and influence production systems.

Qualifications

• Pursuing a highly quantitative degree with strong mathematical background.
• Demonstrated passion for research and problem solving.
• Experience with data analysis and quantitative modeling is a plus.

Responsabilités

• Apply rigorous analytical and quantitative techniques to solve complex problems
• Build custom tools to explore new research ideas
• Design mathematical models based on trading ideas
• Implement and deploy new models into production
• Maintain best practices to keep systems logical and consistent

Connaissances

Python programming

C

C++

Research mindset

Formation

Bachelor’s or Master’s degree in Mathematics, Engineering, Statistics, Physics, Computer Science

Description du poste

As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies. You will leverage your superior analytical, mathematical, and computing skills to improve existing models and develop new ones. We will empower you to discover your unique niche and excel, taking on responsibility and ownership from the start. Quantitative Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.

Your Core Responsibilities:

• Apply rigorous analytical and quantitative techniques to solve complex problems
• Build custom tools to explore new research ideas
• Design mathematical models based upon trading ideas
• Implement and deploy new models into production
• Maintain best practices to keep our systems logical and consistent

Your Skills and Experience:

• Current university student graduating between September 2026 – July 2027 that is pursuing a Bachelor’s or Master’s degree in Mathematics, Engineering, Statistics, Physics, Computer Science, or another highly quantitative field
• Has a passion for research and problem solving
• Approaches data analysis with rigorous thought processes and strong intuition
• Is a creative thinker who is driven and eager to solve challenging problems collaboratively
• Proficiency in a programming language (Python, C, C++, etc) is highly desired
• Must be available for full-time employment starting in February or August 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

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.

Base 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.