Quantitative Developer - Python

AI in this role

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.

Your Core Responsibilities:

Build and maintain systems that span research and production, enabling rapid iteration from idea to production
Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
Define, compute, and curate features across instruments, regimes, and time horizons
Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
Contribute to strategy optimization, balancing expected performance with real-world constraints
Debug issues end-to-end across research and execution

Your Skills and Experience:

3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
Solid understanding of ML concepts as applied to systematic strategies, from research through production
Experience with low-latency systems is valuable
Ability to work fluidly across research and engineering 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.

Salary Range$200,000—$225,000 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.

How we rate this

Quantitative Developer - Python at IMC rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.