ZipRecruiter

Log In

1

Quantitative Developer Jobs in New Jersey (NOW HIRING)

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

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 ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

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 ...

Jay Analytix Inc

Quantitative Developer

Jersey City, NJ · On-site

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 ...

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 ...

Amicis Global

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a ...

next page

Showing results 1-20

All JobsQuantitative Developer JobsQuantitative Developer Jobs in New Jersey

Quantitative Developer information

See New Jersey salary details

$99.5K

$172.3K

$263.5K

How much do quantitative developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for quantitative developer 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.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.
More about Quantitative Developer jobs
What are the most commonly searched types of Quantitative Developer jobs in New Jersey? The most popular types of Quantitative Developer jobs in New Jersey are:
What are popular job titles related to Quantitative Developer jobs in New Jersey? For Quantitative Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer jobs in New Jersey look for? The top searched job categories for Quantitative Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Quantitative Developer jobs? Cities in New Jersey with the most Quantitative Developer job openings:
What are popular job titles related to Quantitative Developer jobs in NJ? For Quantitative Developer jobs in NJ, the most frequently searched job titles are:
Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in New Jersey as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 5% 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

Re-posted 19 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.