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Quantitative Developer Jobs in Atlanta, GA (NOW HIRING)

Parse the quantitative and qualitative data in Excel and be able to distill and present the ... Must possess at least a bachelor's degree or its equivalent in Civil Engineering, Environmental ...

Parse the quantitative and qualitative data in Excel and be able to distill and present the ... Must possess at least a bachelor's degree or its equivalent in Civil Engineering, Environmental ...

Risk Manager

Atlanta, GA · On-site

$150K - $165K/yr

A passion for risk management and a proven interest in financial markets through work experience and outside activities Strong statistical programming and data analysis skills Strong quantitative and ...

New

... quantitative models to support risk management, financial forecasting, and strategic decision-making. This role leverages statistical, mathematical, and programming expertise to analyze complex data ...

Parse the quantitative and qualitative data in Excel and be able to distill and present the ... Must possess at least a bachelor's degree or its equivalent in Civil Engineering, Environmental ...

Showing results 21-40

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 Jul 31, 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.

What do you do as a quant developer?

A quantitative developer designs, implements, and maintains algorithms and models used for trading, risk management, and financial analysis. They typically work with programming languages like Python, C++, or Java and use data analysis tools to develop automated trading systems. Strong mathematical, statistical, and coding skills are essential in this role, often within a fast-paced financial environment.

What jobs pay $500,000 a year in the US?

Quantitative developers in finance, such as those working in hedge funds, investment banks, or proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong programming skills in languages like C++ or Python, and expertise in financial modeling and risk management.

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 is a quant developer's salary?

A quantitative developer's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often available in financial hubs and for those with advanced skills in programming, mathematics, and financial modeling. Bonuses and profit sharing can significantly increase total compensation for experienced professionals.

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 jobs make $1,000,000 a year?

Quantitative developers in finance, hedge fund managers, and senior traders can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. Success in these roles typically requires advanced programming skills, strong financial knowledge, and experience with trading algorithms or risk management tools.
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:
What job categories do people searching Quantitative Developer jobs in Atlanta, GA look for? The top searched job categories for Quantitative Developer jobs in Atlanta, GA are:
Infographic showing various Quantitative Developer job openings in Atlanta, GA as of July 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $163,221 per year, or $78.5 per hour.

$121K - $160K/yr

Full-time

Re-posted 15 days ago


Job description

Overview

Job Purpose

Intercontinental Exchange (ICE) is seeking an Atlantabased Senior Product Manager to join the Quantitative Research Department.

You will bridge business, quantitative, and technology disciplines to deliver new product capabilities and enhancements that strengthen ICE's clearing and critical risk capabilities. You will convert complex business problems into precise, implementable product requirements and partner closely with the Quantitative, Business Analysts, and Technology teams to bring them to production.

Responsibilities 

  • Shape and communicate product requirements and workflows across Business, Quantitative, and Technology stakeholders.
  • Own functional specifications (use cases, activity diagrams, UI schematics, business rules, process flows).
  • Translate highlevel needs and prototypes into implementable solutions aligned with risk workflows and datadriven systems.
  • Contribute to roadmap discussions and prioritization through structured analysis and crisp problem definitions.
  • Define requirements for internal tooling (dashboards, validation utilities, workflow enhancements).
  • Align functional requirements with technical ecosystems (APIs/microservices, event streaming, data integrations).
  • Support quality outcomes through documentation reviews, release readiness, testing support, and operational handoffs.
  • Use SQL/Python/Excel/R and AI tools to interrogate data and validate assumptions.

Knowledge and Experience

  • Bachelor's degree in Computer Science, Engineering, Economics, Finance, or related field.
  • 5+ years in Product Management, Business Analysis, or Systems Analysis within trading/banking/clearing; experience with derivative instruments a plus.
  • Exceptional written and verbal communication; able to interpret quantitative methods and mathematical documentation.
  • Data analysis skills and familiarity with Oracle SQL or other database tools; working knowledge of Python, Excel, and R or similar.
  • Technical fluency for collaboration; experience working with servicebased architectures, eventdriven systems, containerized environments, CI/CD pipelines, and modern UI/serverside technologies.

Personal Attributes

  • Proactive, curious, and comfortable learning new concepts and technologies.
  • Strong analytical thinking and structured problemsolving; highly organized.
  • Calm and effective under pressure; excellent time management.
  • Clear, concise communicator and confident presenter.
  • Collaborative partner to Business, Quantitative, Technology, and Engineering teams.
----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME