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Quant Engineer Jobs in Atlanta, GA (NOW HIRING)

Invesco Real Estate

Senior Engineer-1

Atlanta, GA · On-site

$100K - $138K/yr

## Senior Engineer-1Applylocations: Atlanta, Georgia: Boston, Massachusetts: Houston, Texastime type ... This role will partner closely with quantitative research teams, model owners, and downstream ...

Invesco

Senior Engineer-1

Atlanta, GA · Hybrid

$100K - $138K/yr

We are seeking a Senior Engineer, Investments Technology , to design, enhance, and support ... This role will partner closely with quantitative research teams, model owners, and downstream ...

Invesco

Senior Engineer-1

Atlanta, GA · Hybrid

$100K - $138K/yr

We are seeking a Senior Engineer, Investments Technology , to design, enhance, and support ... This role will partner closely with quantitative research teams, model owners, and downstream ...

Invesco

Senior Engineer-1

Atlanta, GA · On-site

$100K - $138K/yr

We are seeking a Senior Engineer, Investments Technology , to design, enhance, and support ... This role will partner closely with quantitative research teams, model owners, and downstream ...

OVA.Work

Data Science Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Required : • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. • 3-8+ years of experience in data engineering, software engineering, or ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Atlanta, GA

Quant Engineer information

See Atlanta, GA salary details

$36.5K

$87.1K

$144.7K

How much do quant engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for quant engineer in Atlanta, GA is $87,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What are popular job titles related to Quant Engineer jobs in Atlanta, GA?

For Quant Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Atlanta, GA look for?

The top searched job categories for Quant Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Quant Engineer jobs?

Cities near Atlanta, GA with the most Quant Engineer job openings:

Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $87,067 per year, or $41.9 per hour.

Quantitative Engineer

Atlanta, GA

Intercontinental Exchange Holdings, Inc.
Finance and Insurance • 5 - 10K employees
Learn more about Intercontinental Exchange Holdings, Inc.external

Full-time

Posted 21 days ago

Job description

Overview

Job Purpose

Intercontinental Exchange is looking for a Quantitative Engineer to be a part of our team.  This role resides within the Clearing Technology segment of ICE. Clearing technology provides automation of risk management and modeling to ensure that markets can operate rapidly and efficiently while minimizing the likelihood of adverse outcomes during market volatility. The Quantitative QA role brings expertise in financial mathematics and technology to the clearing technology group.

You must be results-oriented, self-motivated and have the ability to thrive in a fast-paced environment.  This role requires frequent interaction with project managers, developers, product managers, and risk management/quantitative analysts in order to ensure that we deliver a quality clearing house risk platform to our users. Analytical skills and the ability to understand and test quantitative risk assessment/margin calculation models are crucial for the role.

 

Responsibilities

  • Develop reference implementations for testing platform applications, based on technical business requirements
  • Review technical requirements with quantitative models terminology to produce test strategies, test scenarios, and test cases
  • Implement, maintain, and troubleshoot test harnesses, including implementations for various quantitative models
  • Define test scenarios and develop/maintain automated test cases
  • Create test plans, defining test scope, resources, dependencies, risks, and the overall strategy for testing complex software systems
  • Perform all aspects of verification, including functional, regression, system, and integration testing for applications designed using multi-tiered-based architecture
  • Deploy application builds and maintain test environments
  • Perform troubleshooting of software / hardware configuration problems
  • Demonstrate a passion for finding software bugs in complex algorithms

 

Knowledge and Experience

  • M.S. or higher in a Financial Engineering, Mathematics, or Computer Science related discipline
  • Experience with modeling/statistical analysis tools such as Python, R, or MATLAB
  • Ability to implement quantitative algorithms and develop automated tests using a scripting/programming language
  • Ability to write and execute customized SQL queries against Oracle DB
  • Ability to calculate customized statistics on large sets of data
  • Ability to understand use Python code and spreadsheets containing financial engineering formulas
  • Must have understanding of derivatives markets and options/asset pricing models
  • Must be comfortable with working across systems in a high tech software development environment
  • Progress toward CFA, FRM, or similar credentials a plus
  • 2+ years' experience with commodity markets, financial trading environment, or equity brokerage business and exposure to futures markets is a plus
  • Value at Risk (VaR), parametric, Historical Simulation, or other portfolio risk management understanding a plus
  • Must have excellent communication skills
----------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

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