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Quantitative Model Developer Jobs (NOW HIRING)

Jay Analytix

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 ...

Jay Analytix

Quantitative Developer

New York, NY · On-site

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 ...

Vanguard Group, Inc.

Model Validation

Malvern, PA · On-site

You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...

Vangard, Inc.

Model Validation

Charlotte, NC

You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...

Vangard, Inc.

Model Validation

Malvern, PA · On-site

You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

This role sits at the intersection of quantitative modeling and high-performance engineering ... similar to roles often titled Quant Developer or Strategist. Your Core Responsibilities * Design ...

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

This role sits at the intersection of quantitative modeling and high-performance engineering ... similar to roles often titled Quant Developer or Strategist. Your Core Responsibilities * Design ...

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Quantitative Model Developer information

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$98K

$169.7K

$259.5K

How much do quantitative model developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quantitative model developer 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 does a quantitative model developer do?

A Quantitative Model Developer designs, implements, and maintains mathematical models used in finance, banking, or other industries to analyze data and support decision-making. They use programming languages, statistical techniques, and financial theory to develop models for tasks such as risk assessment, pricing, or forecasting. These professionals work closely with traders, analysts, and other stakeholders to ensure the models are accurate, efficient, and aligned with business goals.

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

To excel as a Quantitative Model Developer, you need strong mathematical and statistical skills, proficiency in programming languages like Python, R, or C++, and typically a degree in mathematics, statistics, computer science, or a related field. Experience with modeling frameworks, data analysis tools, and familiarity with quantitative finance platforms such as MATLAB or QuantLib are commonly required. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are essential for developing accurate, reliable models that inform financial decision-making and risk management.

How does a quantitative model developer typically collaborate with other teams within a financial institution?

Quantitative Model Developers frequently work alongside risk management, trading, and IT departments to ensure that financial models are both robust and aligned with business objectives. They often translate complex mathematical concepts for stakeholders, assist in model implementation, and respond to feedback or changing requirements. Collaboration is key, as they must ensure models are technically sound, regulatory compliant, and seamlessly integrated into production systems. Regular communication and interdisciplinary teamwork are essential for resolving challenges and delivering effective solutions.

What is the difference between Quantitative Model Developer vs Quantitative Analyst?

AspectQuantitative Model DeveloperQuantitative Analyst
Primary FocusDesigning, developing, and implementing quantitative modelsAnalyzing data to inform trading, investment, or risk decisions
Skills & CertificationsProgramming (Python, C++, R), quantitative finance, model developmentData analysis, statistical skills, financial knowledge
Work EnvironmentQuant teams in finance firms, hedge funds, banksResearch teams, trading desks, investment firms
Common UsageBuilding models used in trading algorithms and risk managementInterpreting data to support investment strategies

While both roles require quantitative skills and finance knowledge, Quantitative Model Developers focus on creating and coding models, whereas Quantitative Analysts analyze data to guide decisions. The roles often overlap but differ mainly in their core responsibilities and technical focus.

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Cities with the most Quantitative Model Developer job openings:

What states have the most Quantitative Model Developer jobs?

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What job categories do people searching Quantitative Model Developer jobs look for?

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Quantitative Model Developer jobs near you
Infographic showing various Quantitative Model Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Developer

Jay Analytix

Jersey City, NJ • On-site

$100 - $150/hr

Other

Re-posted 3 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.

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