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Quantitative Developer Python Jobs (NOW HIRING)

Staff Quantitative Developer

New York, NY · On-site

$179.40K - $243.14K/yr

As a Risk Quantitative Developer, you will play a critical role within the Quant team, helping to ... Strong Python proficiency; experience with C++ or Java is a plus. * Solid grounding in quantitative ...

Quantitative Developer

San Francisco, CA · On-site

$180K - $275K/yr

About the Role We're hiring a Quant Engineer to help turn research ideas into production-grade code ... Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL. * Experience working ...

Strong programming skills in Python and SQL * Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms * Understanding of ...

The Position We are seeking a highly analytical and detail-oriented Quantitative Developer to join ... Experience with Python is required and other languages are a plus * Experience with Pandas, NumPY ...

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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 May 31, 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 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.

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.

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Other

Posted 25 days ago


Job description

 
We are looking for an exceptional Quantitative Developer to join our expanding Energy Desk.
In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of tooling and reporting for the Desk.
 

Your future role within Q-TX

  • Collaborate with researchers and traders to develop tools, statistical models, and reports for energy supply and demand analysis.
  • Translate complex market dynamics into actionable insights using robust quantitative methods.
  • Work closely with global technology teams to leverage Q-TX systems and cloud platforms for scalable and maintainable solutions.
  • Monitor and support desk tools to ensure reliability, usability, and long-term effectiveness.

Your present skillset

  • Minimum of 4 years of experience developing industrial-strength, mission-critical Python code.
  • Experience with cloud platforms (AWS) is a plus.
  • Ability to work independently and collaboratively within a global team.
  • Strong design and software engineering skills for clean, maintainable solutions.
  • Familiarity with power or energy markets is preferred.
  • Rigorous, analytical thinker with strong problem-solving skills.
  • Ability to manage multiple priorities and communicate effectively with stakeholders.
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