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Quantitative Developer Python Jobs (NOW HIRING)

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... Experience coding in C++ and Python * Strong organizational and software architecture skills with a ...

Point72

Quantitative Developer

Chicago, IL · On-site

The Quantitative Developer will collaborate with a portfolio manager and a team of quant ... Python, including in the object-oriented design, unit/reg testing, conda environment management ...

DRW

Quantitative Developer

New York, NY · On-site

As a Quantitative Developer / Research Engineer, you will be an early member of the team with ... At least two years of experience developing production software, primarily in Python and/or C ...

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment ...

P2P

Quantitative Developer

Manhattan, NY · On-site

About the Role As a Quantitative Developer / Research Engineer, you will be an early member of the ... At least two years of experience developing production software, primarily in Python and/or C ...

FalconX

Core Quantitative Developer

New York, NY · On-site

$213K - $240K/yr

As a Quant Developer you'll be focused on end to end ownership of electronic products and services ... Strong experience with programming languages such as Python, R, or MATLAB. * Familiarity with ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production ... Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL. * Skill working with ...

Citigroup Inc.

Quantitative Developer (VP)

Manhattan, NY · On-site

$175K - $250K/yr

Build and optimize quantitative applications using modern C++ and Python, applying strong software architecture and engineering principles. * Own the full software development lifecycle, including ...

Citigroup, Inc.

Quantitative Developer (VP)

New York, NY · On-site

$175K - $250K/yr

Build and optimize quantitative applications using modern C++ and Python, applying strong software architecture and engineering principles. * Own the full software development lifecycle, including ...

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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 Sep 11, 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 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 are the key skills and qualifications needed to thrive as a quantitative developer Python?

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 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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Quantitative Developer Python jobs near you
Infographic showing various Quantitative Developer Python job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 89% Full Time, 4% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Developer - 2452889

Stamford, CT • Hybrid

2Bridge Partners
Recruiting and Staffing Services • 1 - 10 employees
Learn more about 2Bridge Partnersexternal

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

2Bridge has been engaged in the search for a direct-hire Quant Developer for an innovative FinTech company. The company has secured a significant Series A funding round and is expanding its team. It is looking for a Senior Quant Developer to enhance its technological capabilities as it scales.


Role Summary:

You'll play a crucial role in developing quantitative models and algorithms vital for the company’s financial products and services.


Compensation and Benefits: Our client offers Total Compensation between 250,000 and 350,000, split between a base and performance-based bonus. For the right person, there is potential for equity. They also offer a comprehensive benefits package including Medical, Dental, Vision, 401k, 24 days PTO, and all NYSE Holidays, Etc. This is as hybrid role, onsite, one day a week, in one of their offices in either NYC or Stamford.


Responsibilities:

  • Develop and enhance quantitative models and algorithms for performance and scalability.
  • Collaborate with teams to integrate quantitative solutions into broader system architectures.
  • Validate models for correctness and edge-cases.
  • Maintain market data handlers, data models, and valuation cache.
  • Stay updated with industry trends and incorporate advanced quantitative techniques as applicable.


Qualifications:

  • Bachelor’s or preferably an MS in Quantitative Finance, Computer Science, Mathematics, or a related field.
  • 3-5 years experience in Quantitative Development within financial services, specifically with Trade Cost Analysis in Fixed Income, Corporate Bonds, non-vanilla swaps, and other OTC Derivatives.
  • 5 years experience in Java or C#, .Net, Bonus points for expertise in Python.
  • Extensive experience with Analytics Libraries such as QuantLib, FinCad, Numerix, etc.
  • Experience with time series databases like OneTick, KDB, InfluxDB.
  • Experience with machine learning algorithms and their applications in financial modeling.