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Quantitative Developer Python Jobs (NOW HIRING)

Verition

Quantitative Developer

Norwalk, CT · On-site

Verition Fund Management LLC is a multi-strategy hedge fund seeking a Quantitative Developer to ... The role involves designing and developing tools in Python for analysis, trading, and risk ...

Soteria Reinsurance Ltd.

Develops quantitative analytics using Python and SQL to compute portfolio-level risk measures and ... Developer (or closely related occupation) performing quantitative and analytical evaluation of ...

Arrowstreet Capital

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 ...

Verition

Quantitative Developer

Norwalk, CT · On-site

They are seeking a Quantitative Developer to design and develop tools for analysis, trading, and ... Responsibilities : • Design and develop various tools in Python that will be crucial for analysis ...

Vatic Labs

Quantitative Developer

New York, NY · On-site

$350K/yr

As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly ... Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and ...

Vatic Labs

Quantitative Developer

New York, NY · On-site

$350K/yr

As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly ... Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and ...

Infinite Services

NY · On-site

About The Role We're looking for an experienced Quantitative Developer; this role focuses on ... Strong proficiency in Python (experience with frameworks such as TensorFlow or PyTorch); knowledge ...

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 ...

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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 12, 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

Manhattan, NY • On-site

The D. E. Shaw Group
See more jobs at The D. E. Shaw Groupexternal

Full-time

Re-posted 8 days ago

Job description

Job Summary:
The D. E. Shaw Group is seeking quantitative developers to join its Options group, where technology plays a crucial role in their operations. The role involves researching, building, and deploying distributed real-time systems software to support trading and research activities, while applying analytical and mathematical skills to identify market inefficiencies.
Responsibilities:
• You’ll research, build, and deploy distributed real-time systems software to support the firm’s trading and research activities.
• You’ll develop and utilize object-oriented design methodologies using C++, Java, and Python.
• You’ll build software that improves the performance, efficiency, and automation of existing trading, research, and support processes.
• You’ll perform mathematical and quantitative analyses, apply numerical techniques, and develop software that will analyze and develop statistical models for our computerized financial trading processes and strategies.
Qualifications:
Required:
• A Doctor of Philosophy degree in computer science, electrical engineering, computer engineering, or a related field of study is required.
• Knowledge or experience in the following must have been gained through academic research and/or coursework: probability and statistics; data structures and algorithm design; machine-learning theory and techniques, including clustering, regression, and classification; explainable AI and neural network theory; optimization theory and techniques, including linear/convex programming, integer programming and iterative algorithms for optimization; scientific writing; deep learning modeling tools, including TensorFlow or PyTorch; Python scientific computing libraries, including NumPy and SciPy; Python, C++, and Java.
Company:
The D. E. Shaw group is trusted by investors across the world to seek an optimal balance of risk and reward. Founded in 1988, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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