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Quantitative Developer Python Jobs in New Jersey

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

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 ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

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 ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. * Apply machine learning techniques to time-series data including feature engineering ...

Apex Informatics

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Python Developer ACSB6EO2 W2 Rate * 68 USD Position Responsibilities Python Developer Location ... in Quantitative researcher and developer, ability to deal with domain specific data analysis • ...

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All JobsQuantitative Developer Python JobsQuantitative Developer Python Jobs in New Jersey

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 9, 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.
What are popular job titles related to Quantitative Developer Python jobs in New Jersey? For Quantitative Developer Python jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer Python jobs in New Jersey look for? The top searched job categories for Quantitative Developer Python jobs in New Jersey are:
Quantitative Developer Python jobs near you
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.

Quantitative Developer

Jay Analytix

Jersey City, NJ • On-site

Full-time

Posted 21 days ago

Job description

Quantitative Developer

Location: New Jersey, Jersey City, USA Hybrid Employment Type: 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 financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.

The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment.

Key Responsibilities
  • Develop and implement pricing and risk models for derivative products.
  • Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
  • Build libraries and tools for portfolio analytics, valuation, and risk measurement.
  • Work closely with quants and traders to refine models and strategies.
  • Perform backtesting and simulation of trading strategies.
  • Validate financial models and ensure the accuracy of calculations.
  • Contribute to the ongoing improvement of analytics infrastructure and code quality.
Required Skills

Quantitative & Finance (Core Focus)

  • Minimum 7 years of experience in a quantitative development or related role.
  • Capital markets domain experience is mandatory.
  • Strong understanding of derivatives, fixed income, and capital markets.
  • Solid grounding in probability, stochastic processes, and statistics.
  • Hands-on experience with pricing models, risk metrics, and financial data.

Technical

  • Advanced Python, including NumPy, Pandas, and SciPy.
  • Strong experience with data analysis and numerical computing.
  • Familiarity with SQL and data handling.
Nice to Have
  • Exposure to C++ for performance optimization.
  • Experience working with quantitative research or trading desks.
  • Familiarity with model validation practices and regulatory expectations.
What We Offer
  • A hybrid work arrangement across major financial hubs in Canada and the USA.
  • The opportunity to work on high-impact pricing and risk systems used by trading and risk teams.
  • A collaborative environment that bridges quantitative finance and software engineering.
How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant experience, including capital markets domain expertise and quantitative development work. We thank all applicants for their interest; only those selected for an interview will be contacted.