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Quantitative Financial Engineer Jobs in Atlanta, GA

CharterUP

Data Analyst

Atlanta, GA

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

Keybank

Quant Analytics Mgr.

Atlanta, GA

Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of ...

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All JobsQuantitative Financial Engineer JobsQuantitative Financial Engineer Jobs in Atlanta, GA

Quantitative Financial Engineer information

See Atlanta, GA salary details

$10.6K

$124.7K

$190.4K

How much do quantitative financial engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for quantitative financial engineer in Atlanta, GA is $124,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a quantitative financial engineer?

Quantitative Financial Engineers, often known as 'quants,' are professionals who use advanced mathematical models, statistical techniques, and programming skills to analyze financial data and develop strategies for pricing, trading, and risk management in financial markets. They play a crucial role in investment banks, hedge funds, and other financial institutions by creating models that help optimize trading strategies and manage financial risks. Quants typically have strong backgrounds in mathematics, physics, engineering, or computer science, and are proficient in programming languages such as Python, R, or C++. Their work supports decision-making in areas like algorithmic trading, derivatives pricing, and portfolio management.

What is the difference between Quantitative Financial Engineer vs Quantitative Analyst?

AspectQuantitative Financial EngineerQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or engineering; certifications like CFA or FRMTypically similar; advanced degrees preferred, certifications optional
Work EnvironmentDevelops models, algorithms, and trading systems; often in tech-driven finance firmsAnalyzes data, assesses risk, and supports trading strategies; in investment banks or asset management
Employer & Industry UsageHired by hedge funds, investment banks, proprietary trading firmsEmployed across asset management, banks, and financial institutions

While both roles require strong quantitative skills and advanced education, Quantitative Financial Engineers focus on developing complex models and trading algorithms, often working in tech-driven environments. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in focus and responsibilities.

How does a quantitative financial engineer typically collaborate with traders and software developers in daily workflows?

Quantitative Financial Engineers often work closely with traders to understand their strategies and translate trading ideas into mathematical models. They also collaborate with software developers to ensure these models are efficiently implemented into trading systems, requiring clear communication and iterative feedback. This cross-functional teamwork is essential to quickly adapt to changing market conditions and maintain robust trading infrastructure. As a result, strong interpersonal skills and the ability to explain complex quantitative concepts to non-specialists are key to success in this role.

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

To thrive as a Quantitative Financial Engineer, you need strong mathematical and statistical skills, advanced programming abilities (often in Python, C++, or R), and a degree in quantitative fields such as mathematics, finance, engineering, or physics. Familiarity with financial modeling software, statistical analysis tools, and platforms like MATLAB or Bloomberg Terminal is typically required, along with certifications such as CFA or FRM being advantageous. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are essential soft skills in this field. These competencies are vital for developing accurate financial models, managing risk, and supporting data-driven investment decisions in a competitive financial environment.
What are popular job titles related to Quantitative Financial Engineer jobs in Atlanta, GA? For Quantitative Financial Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Quantitative Financial Engineer jobs in Atlanta, GA look for? The top searched job categories for Quantitative Financial Engineer jobs in Atlanta, GA are:
Quantitative Financial Engineer jobs near you
Infographic showing various Quantitative Financial Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,694 per year, or $59.9 per hour.

Senior Financial Engineer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA

$100K - $138K/yr

Full-time

Re-posted yesterday

Job description

Overview

Job Purpose

The Senior Financial Engineer will play a critical role in developing and enhancing solutions on our analytics platform to support growth in fixed income and equity analytics.  This position requires advanced technical expertise and strong analytical skills. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will collaborate with Product Development, Data Analysis, Quantitative Research, IT, QA, and Operations teams to ensure high-quality data delivery.

Responsibilities

  • Ensure accuracy and integrity of quantitative measures and reference data.
  • Oversee and validate critical data production processes, ensuring timely and accurate client deliverables.
  • Research and respond to client data inquiries and challenges.
  • Establish and monitor performance metrics for version upgrades and enhancements.
  • Produce historical analysis that highlights current analytic trends for different asset types.
  • Create and maintain documentation for workflows, data requirements, and DQA test cases.
  • Recommend and implement process improvements to enhance data analysis and operational efficiency.

Knowledge and Experience

  • Master's degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance
  • 2+ years' experience in related field
  • Strong understanding of fixed income mathematics with exposure to equity, index, and derivative instruments
  • Excellent Quantitative Analytic Skills
  • Proficiency in SQL and experience with data analysis tools such as Python, R, or MATLAB
  • Excellent communication skills for articulating issues, clarifying requirements, and presenting findings
  • Detail oriented and good organization skills
  • Self-motivated and accountable for delivering accurate, timely results
  • Collaborative team player with flexibility to adapt to changing priorities and schedules
  • Familiarity with software development lifecycle (SDLC)

Preferred Knowledge and Experience

  • Passed the CFA Level II or higher
  • Experience in AI-assisted development tools such as GitHub, Copilot, Cursor, or Claude
  • Exposure to cloud platforms and services

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----------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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