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Quantitative Finance Software Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

You will apply your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving ...

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Quantitative Finance Software Engineer information

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$11K

$129.7K

$198K

How much do quantitative finance software engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for quantitative finance software engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Finance Software Engineer vs Quantitative Analyst?

AspectQuantitative Finance Software EngineerQuantitative Analyst
Primary FocusDeveloping software and algorithms for financial modelsCreating and analyzing financial models and strategies
Skills RequiredProgramming, software development, quantitative methodsMathematics, statistics, financial theory
Work EnvironmentTech teams, software development projects, financial firmsTrading floors, research departments, investment firms
Common CertificationsNone specific, programming certifications beneficialCFA, FRM, CQF

While both roles involve quantitative skills, Quantitative Finance Software Engineers focus on building the tools and software used in finance, whereas Quantitative Analysts primarily develop financial models and strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are popular job titles related to Quantitative Finance Software Engineer jobs?

For Quantitative Finance Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Finance Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Quantitative Developer

Jersey City, NJ • Hybrid

Contractor

Re-posted 24 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.

Employment Type: CONTRACTOR