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Quant Finance Jobs (NOW HIRING)

Quantitative Developer Location: New York, USA - Hybrid Employment Type: Contract About the Role We ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Quantitative Developer

Manhattan, NY · On-site

$120 - $150/hr

Quantitative Developer Location: New York, USA -- Hybrid Employment Type: Contract About the Role ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Quantitative Developer Location: New York, USA Hybrid Employment Type: Contract About the Role We ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Quantitative Developer

Jersey City, NJ · On-site

$100 - $150/hr

Quantitative Developer Location: New Jersey, Jersey City, USA -- Hybrid Employment Type: Contract ... This role focuses on building and implementing financial models, analytics, and pricing systems ...

Sr. Quantitative Finance Analyst

Newark, NJ · On-site

$89K - $111K/yr

The Senior Quantitative Financial Analyst interacts with a wide variety of stakeholders including other loss forecast associates, model operations, model developers, Allowance, Finance, Enterprise ...

We are looking for our next Derivative Quant Analyst based in New York. You will be joining a ... Collaborate with the Financial Engineering team to develop MerQube branded financial engines and ...

Derivative Quant Analyst

New York, NY · On-site

$130K - $180K/yr

We are looking for our next Derivative Quant Analyst based in New York. You will be joining a ... Collaborate with the Financial Engineering team to develop MerQube branded financial engines and ...

Showing results 41-60

Quant Finance information

See salary details

$98K

$169.7K

$259.5K

How much do quant finance jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quant finance 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 skills and qualifications are needed to thrive in quant finance?

To thrive in Quant Finance, a strong background in mathematics, statistics, computer science, and finance, often supplemented by a graduate degree in a quantitative field, is essential. Mastery of programming languages such as Python, R, or C++, and familiarity with financial modeling platforms and certifications like CFA or FRM, are typically required. Excellent analytical thinking, problem-solving abilities, and effective communication skills help individuals excel in complex, collaborative environments. These skills ensure the ability to design robust quantitative models, interpret data-driven insights, and collaborate successfully with both technical and non-technical colleagues.

What do quant finance professionals do?

Quant Finance professionals are often involved in designing, developing, and implementing mathematical models to price securities, manage risk, and optimize investment strategies. Their day-to-day work can include analyzing large data sets, running simulations, building algorithmic trading systems, and collaborating with traders, portfolio managers, and software engineers. They may also contribute to scenario analysis, stress testing portfolios, and validating existing models to ensure regulatory compliance and accuracy. The role demands adaptability and close teamwork, as projects can shift rapidly in response to market changes or new research findings.

What are quant finance jobs in finance?

Quant finance jobs involve developing and applying mathematical models and algorithms to analyze financial markets, manage risk, and optimize investment strategies. These roles typically require strong skills in mathematics, programming, and finance, often utilizing tools like Python, R, or MATLAB. Quantitative analysts, or quants, work in trading firms, investment banks, and hedge funds to support data-driven decision-making.

What is a quant finance?

A Quant Finance job involves applying mathematical models, statistical techniques, and programming skills to analyze financial markets and develop trading or risk management strategies. Quantitative analysts, or “quants,” work in areas like algorithmic trading, portfolio management, and derivatives pricing. They use advanced concepts from mathematics, statistics, and computer science to optimize investment decisions and manage financial risk.

More about Quant Finance jobs
What cities are hiring for Quant Finance jobs? Cities with the most Quant Finance job openings:
What are the most commonly searched types of Quant Finance jobs? The most popular types of Quant Finance jobs are:
What states have the most Quant Finance jobs? States with the most job openings for Quant Finance jobs include:
Infographic showing various Quant Finance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Developer

Jay Analytix Inc

Jersey City, NJ • On-site

Contractor

Re-posted 26 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.