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$93.2K

$161.5K

$246.9K

How much do quantitative developer jobs pay per year?

As of May 29, 2026, the average yearly pay for quantitative developer in Connecticut is $161,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $189,300.00 per year, depending on experience, location, and employer.

What Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What are the key skills and qualifications needed to thrive as a Quantitative Developer, and why are they important?

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.

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 Quantitative Developers?

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.

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.

More about Quantitative Developer jobs
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Quantitative Developer jobs near you

Quantitative Developer - 2452889

2Bridge Partners

Stamford, CT • Hybrid

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 hours ago

Job description

2Bridge has been engaged in the search for a direct-hire Quant Developer for an innovative FinTech company. The company has secured a significant Series A funding round and is expanding its team. It is looking for a Senior Quant Developer to enhance its technological capabilities as it scales.


Role Summary:

You'll play a crucial role in developing quantitative models and algorithms vital for the company’s financial products and services.


Compensation and Benefits: Our client offers Total Compensation between 250,000 and 350,000, split between a base and performance-based bonus. For the right person, there is potential for equity. They also offer a comprehensive benefits package including Medical, Dental, Vision, 401k, 24 days PTO, and all NYSE Holidays, Etc. This is as hybrid role, onsite, one day a week, in one of their offices in either NYC or Stamford.


Responsibilities:

  • Develop and enhance quantitative models and algorithms for performance and scalability.
  • Collaborate with teams to integrate quantitative solutions into broader system architectures.
  • Validate models for correctness and edge-cases.
  • Maintain market data handlers, data models, and valuation cache.
  • Stay updated with industry trends and incorporate advanced quantitative techniques as applicable.


Qualifications:

  • Bachelor’s or preferably an MS in Quantitative Finance, Computer Science, Mathematics, or a related field.
  • 3-5 years experience in Quantitative Development within financial services, specifically with Trade Cost Analysis in Fixed Income, Corporate Bonds, non-vanilla swaps, and other OTC Derivatives.
  • 5 years experience in Java or C#, .Net, Bonus points for expertise in Python.
  • Extensive experience with Analytics Libraries such as QuantLib, FinCad, Numerix, etc.
  • Experience with time series databases like OneTick, KDB, InfluxDB.
  • Experience with machine learning algorithms and their applications in financial modeling.