Quantitative Developer - Python

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$200K-$225K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

82% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Developer - Python Chicago, United States 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

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.