Quantitative Developer - Python

Greenhouse Software, Inc.; Chicago (IL); On-site; USD 200,000 - 225,000; Full time

Job summary

IMC Trading is seeking a Quantitative Developer to own the full path from research to production, blending research and engineering with tight feedback loops from ideation to live trading.

You will build systems that turn quantitative insights into measurable edge, with visibility into how your work creates impact, including design of low-latency infrastructure and collaboration across research and engineering teams.

Qualifications

• 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.

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

Skills

Python

Data analysis workflows

Time series analysis

Machine learning concepts

Low-latency systems

Cross-functional collaboration

Tools

pandas

Polars

Job description

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.

IMC is an equal opportunity employer. IMC prohibits discrimination of any type and affords equal employment opportunities to applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity and expression, national origin, age, disability, military or veteran status, status as a victim of domestic violence, and/or any other categories protected by applicable federal, state or local law. Completion of this section is voluntary and will not affect your opportunity for employment or the terms or conditions of your employment. The data collected from these questions will be stored separately from your individual application and will be kept confidential.