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Quantitative Financial Engineer Jobs in Atlanta, GA

Truist

Head of Objective Forecasting

Atlanta, GA · On-site

Through specialized teams spanning Credit Loss, Quantitative Finance, Wholesale Risk Rating, Retail ... developers to develop risk models using advance modeling approaches and set the standard for ...

Synovus

Model Development Analyst, Treasury

Atlanta, GA · On-site

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

Jose Merciline

Software Engineer

Alpharetta, GA · On-site

Interact with finance controller, ops, quantitative modelers and other business users. * Continuously learn fixed income business domain. * Advocate and advance toward cutting edge engineering ...

Invesco

Risk Manager

Atlanta, GA · Hybrid

$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 ...

1201 Invesco Advisors Inc.

Risk Manager

Atlanta, GA · On-site

$150 - $165/hr

Formal Education Bachelors or Masters degree in a quantitative field such as quantitative finance, statistics, mathematics, operations research, engineering, or computer science. License ...

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Showing results 21-40

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 Sep 4, 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.

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 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.

Is quantitative financial engineering in high demand?

Quantitative financial engineering is in high demand due to its critical role in risk management, trading strategies, and financial modeling within the finance industry. Professionals with strong skills in mathematics, programming, and financial theory are sought after, especially in hedge funds, investment banks, and asset management firms.

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 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $124,694 per year, or $59.9 per hour.

Lead Developer, Trading Analytics

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$56.75 - $74.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Job Purpose

We're looking for a lead engineer to lead the design and evolution of our Trading Analytics platform, the set of services that help our clients manage and optimize their pricing, risk, and trading workflows. You'll work at the intersection of capital markets, quantitative modeling, and modern cloud infrastructure, partnering closely with quants, product managers, and clients to turn complex financial models into fast, reliable, production-grade software.

Responsibilities 

  • Provide technical leadership across the Trading Analytics stack, setting direction on architecture, performance, and code quality.
  • Design, build, and maintain core services in Java and Python, with a strong focus on numerical accuracy and computational efficiency.
  • Partner with Data Science and Product teams to translate quantitative models into scalable, low-latency, production-ready systems.
  • Translate domain requirements from BAs and quants into robust software that supports real-world trading workflows.

Knowledge and Experience

  • Bachelor's degree in Computer Science, Financial Engineering, or a related quantitative field.
  • 8+ years of professional software engineering experience.
  • Demonstrated experience designing and developing cloud-native applications using AWS services such as S3, EC2, Lambda, IAM, as well as automating deployments and infrastructure using Terraform and CI/CD pipelines.
  • Hands-on experience building ETL pipelines using Databricks and developing notebooks and jobs in PySpark for large-scale data processing and analytics.
  • Strong proficiency in Python, with a track record of shipping high-performance, multi-threaded, production-grade applications
  • Proficiency with AI-assisted coding tools (e.g., Claude Code, Copilot, Cursor) and a demonstrated ability to use them effectively to accelerate development without compromising code quality.
  • Demonstrated ability to lead technical work in a fast-paced environment and collaborate across quants, product managers, and engineering teams.

Preferred Knowledge and Experience

  • Familiarity with capital markets and fixed income instruments. 
  • Knowledge and experience with Java 

#LI-CP1

----------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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