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Quantitative Developer Python Jobs (NOW HIRING)

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing ...

Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing ...

Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing ...

Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing ...

Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing ...

Our client, a quantitative asset management firm, derives its unique edge in asset management from ... The role requires a strong knowledge of Python/Pandas/Numpy stack and experience navigating through ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a ... Writing and maintaining Python and R code that supports the investment research production ...

Quantitative Developer

Boston, MA · On-site

$150K - $250K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a ... Writing and maintaining Python and R code that supports the investment research production ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a ... Writing and maintaining Python and R code that supports the investment research production ...

Our client,a quantitative asset management firm,derives its unique edge in asset management from ... The role requires a strong knowledge of Python/Pandas/Numpy stack and experience navigating through ...

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Quantitative Developer Python information

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$98K

$169.7K

$259.5K

How much do quantitative developer python jobs pay per year?

As of Jul 9, 2026, the average yearly pay for quantitative developer python in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Developer Python, and why are they important?

To thrive as a Quantitative Developer Python, you need a strong background in mathematics, statistics, and programming—particularly with Python—and often a degree in computer science, engineering, or a related field. Expertise with libraries such as NumPy, pandas, and SciPy, as well as experience using version control systems like Git and familiarity with financial data platforms, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top candidates in collaborative, high-stakes environments. These skills and qualities are vital for developing robust, efficient quantitative models that drive data-driven decision-making in finance or research settings.

What is the difference between Quantitative Developer Python vs Quantitative Analyst Python?

AspectQuantitative Developer PythonQuantitative Analyst Python
Primary FocusDeveloping trading algorithms, building infrastructure, and implementing modelsAnalyzing data, developing strategies, and assessing risk
Skills & CredentialsProgramming, software engineering, quantitative modelingStatistical analysis, financial modeling, programming
Work EnvironmentFast-paced trading firms, hedge funds, investment banksResearch departments, asset management firms, hedge funds
Tools & TechnologiesPython, C++, SQL, trading platformsPython, R, Excel, statistical software

While both roles require strong Python skills and quantitative knowledge, Quantitative Developers focus on building and maintaining trading systems and infrastructure, whereas Quantitative Analysts primarily analyze data and develop trading strategies. The developer role is more technical and engineering-oriented, while the analyst role emphasizes research and statistical analysis.

What are the typical collaboration dynamics for a Quantitative Developer Python within a financial firm?

As a Quantitative Developer Python, you will frequently collaborate with quantitative analysts, traders, and other developers to design, implement, and optimize trading algorithms and risk models. Daily interactions often involve gathering requirements from quants, coding solutions, and integrating models into production trading systems. Effective communication is crucial, as you'll need to translate complex mathematical concepts into efficient, maintainable Python code while ensuring alignment with both business objectives and technical standards. This collaborative environment fosters continuous learning and provides opportunities to contribute to impactful projects.

What is a Quantitative Developer Python?

A Quantitative Developer Python is a professional who designs, develops, and maintains software tools and models using Python to support quantitative analysis in finance and investment. They work closely with quantitative analysts (quants) to implement trading algorithms, risk models, and data analysis pipelines. Their expertise in both programming and financial mathematics allows them to translate complex quantitative strategies into efficient and scalable code, often integrating with large datasets and real-time trading systems.
More about Quantitative Developer Python jobs
What cities are hiring for Quantitative Developer Python jobs? Cities with the most Quantitative Developer Python job openings:
What states have the most Quantitative Developer Python jobs? States with the most job openings for Quantitative Developer Python jobs include:
Infographic showing various Quantitative Developer Python job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Developer - Python

Quantitative Developer - Python

IMC

Chicago, IL

Other

Posted 11 days ago


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