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Quantitative Developer Python Jobs in New Jersey

... programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of ... quantitative field of study. • Eligible to work in the United States. Benefits

... programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of ... quantitative field of study. • Eligible to work in the United States. Benefits

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform ... in Python and/or R, with experience in SQL for large‐scale data analysis. 5) Hands‐on ...

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

Implement and productionize quantitative, statistical, and mathematical models using Python * Engineer and maintain scalable solutions that run reliably in production environments * Support ...

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

Implement and productionize quantitative, statistical, and mathematical models using Python * Engineer and maintain scalable solutions that run reliably in production environments * Support ...

Python GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

W2-Contract / Full-Time Looking for a hands-on AI Engineer to work on a high visbility Gen AI ... Advanced degree, or equivalent experience, in mathematics, data science or other quantitative ...

• 5+ years of working experience and must have 3+ years of hands-on experience in quantitative ... programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of ...

• 5+ years of working experience and must have 3+ years of hands-on experience in quantitative ... programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of ...

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Quantitative Developer Python information

See New Jersey salary details

$99.5K

$172.3K

$263.5K

How much do quantitative developer python jobs pay per year?

As of Jul 10, 2026, the average yearly pay for quantitative developer python in New Jersey is $172,314.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $202,000.00 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.
Infographic showing various Quantitative Developer Python job openings in New Jersey as of July 2026, with employment types broken down into 79% Full Time, 9% Part Time, 2% Temporary, 9% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $172,314 per year, or $82.8 per hour.
Manager, Quantitative Risk Analysis

Manager, Quantitative Risk Analysis

Fidelity Investments

Jersey City, NJ

$127K - $137K/yr

Full-time

Posted 23 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services


Job description

Job Description:

Position Description:

Designs quantitative and qualitative analyses to tackle complex problems including portfolio risk profiles, security pricing and valuation, and machine learning (ML) forecasting. Participates in quantitative and financial modeling, including valuation and pricing, investment products, financial planning components, market events, and credit risk. Supports model validation projects across enterprise-wide business groups, assessing model design, inputs, methodologies, and key assumptions. Leverages Bloomberg, Excel, and statistical software (R, Python, MATLAB, or SQL) to perform risk management and solve complex problems.

Primary Responsibilities:

  • Collaborates with model developers and owners to ensure models used by associates and customers are reliable, high-quality, and support sound business decisions.

  • Guides independent validation of quantitative models and reports findings to management, assessing market, financial, and operational risks.

  • Works cross functionally with business units and senior leadership to enhance current model development.

  • Ensures model owners have established effective standards, policies, and procedures.

  • Confirms complete and accurate documentation for each model.

  • Collaborates in the development and implementation of the Model Risk Management Framework by enforcing policies and procedures.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") performing quantitative and qualitative analyses to validate or audit financial, statistical, and AI models, using Python, R, SQL, and Excel; developing or implementing mathematical methodologies, algorithms, and diagnostics, using QuantLib, GBM Simulator, Arch, and LightGBM or scikit-learn (for testing model stability, reliability, performance, and quality control of modelling data).

  • DE implementing a comprehensive model risk management framework, policies, and procedures to identify, access, and mitigate enterprise-wide model risk; and conducting back, stress, and sensitivity testing, and scenario analysis, to assess model robustness under different conditions, and creating insightful visual representations, using NumPy, SciPy, and Pandas.

  • DE collaborating with individual contributors within model validation or model audit, research, and consultative projects -- defining project scope with business and risk leads, accessing and analyzing critical data, performing research, identifying and escalating key findings, and assessing impacts and potential solutions.

  • DE delivering recommendations to business stakeholders, communicating complex quantitative findings, presenting feedback on methodologies, and describing and documenting edge cases through written and oral presentations, using Word and PowerPoint.

Salary: $127,500.00 - $137,500.00/year.

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Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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