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Quantitative Developer Jobs in Atlanta, GA (NOW HIRING)

Our Sr. Quants develop pricing, yield optimization, and recommendation systems for Home Depot ... with our engineering partners across ideation, development, and delivery. The team's primary ...

This Quantitative Engineer role sits within the Strategy & Execution team, which serves an important function within the Investment Risk group. Strategy & Execution drives change management, manages ...

This Quantitative Engineer role sits within the Strategy & Execution team, which serves an important function within the Investment Risk group. Strategy & Execution drives change management, manages ...

... developers to develop risk models using advance modeling approaches and set the standard for excellent performance 3. Provide leadership / mentorship to other quantitative model development managers ...

Partner directly with Product Managers, Designers, and Engineers to identify research questions ... Innovate within existing quantitative methodologies to improve team efficiency, operational pace ...

Lead Quantitative UX Researcher

Atlanta, GA · On-site +1

$150K - $185K/yr

Partner directly with Product Managers, Designers, and Engineers to identify research questions ... Innovate within existing quantitative methodologies to improve team efficiency, operational pace ...

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Quantitative Developer information

See Atlanta, GA salary details

$93.1K

$161.3K

$246.6K

How much do quantitative developer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quantitative developer in Atlanta, GA is $161,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $189,100.00 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, 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.

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 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 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 most commonly searched types of Quantitative Developer jobs in Atlanta, GA? The most popular types of Quantitative Developer jobs in Atlanta, GA are:
What are popular job titles related to Quantitative Developer jobs in Atlanta, GA? For Quantitative Developer jobs in Atlanta, GA, the most frequently searched job titles are:
Quantitative Developer

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Posted 17 days ago


Job description

Hands-on developers executing under the senior modeling lead.

Must-have experience:

  • 4 to 8 years building CECL or CCAR models inside regulated banks or top-tier advisory practices
  • Original model construction, not solely back-testing or monitoring
  • Bachelor's in Business Admin, Finance, Accounting, Stats, Econ, Financial Engineering, Applied Math, or Quant Finance.
  • Macroeconomic scenario design and stress testing.


Tech stack:

  • Python and SAS required
  • Excel and database management fluency
  • Databricks notebook comfort
  • Moody's RiskFoundation or Scenario Analyzer exposure a plus
  • Adenza / AxiomSL element exposure a plus

ML / neural net comfort a plus