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Quantitative Risk Manager Jobs in Georgia (NOW HIRING)

Risk Manager

Atlanta, GA ยท On-site

$150K - $165K/yr

... in monitoring and managing portfolio risk. Provide risk analytic insight that enhances the ... quantitative and analytical skills โ€ข Excellent communicator with the ability to explain ...

Risk Manager

Atlanta, GA ยท Hybrid

$150K - $165K/yr

Collaborate with investment teams in monitoring and managing portfolio risk. Provide risk analytic ... Bachelors or Masters degree in a quantitative field such as quantitative finance, statistics ...

Roles / Responsibilities * Assist the Project/Proposal Managers in evaluating the risk requirements for major and minor proposals/projects and develop the Qualitative and Quantitative proposals ...

Primarily, the Risk Manager will be responsible for planning, organizing, developing and ... This work is often complex requiring strong analytical and quantitative method skills (i.e ...

Risk Manager

Atlanta, GA ยท On-site

$77K - $120K/yr

Primarily, the Risk Manager will be responsible for planning, organizing, developing and ... This work is often complex requiring strong analytical and quantitative method skills (i.e ...

Risk Management Position Type:Employee Regular Senior Risk Specialist Lloyd's Register Location: Athens - Greece About the Role: The role will involve carrying out qualitative and quantitative risk ...

Salesforce is looking for a Senior Risk Manager, Insurance to lead and build out our global corporate insurance function to take this function to the next level with the latest AI and quantitative ...

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Showing results 1-20

Quantitative Risk Manager information

See Georgia salary details

$43.5K

$94.2K

$143.5K

How much do quantitative risk manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for quantitative risk manager in Georgia is $94,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $108,900.00 per year, depending on experience, location, and employer.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

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

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What cities in Georgia are hiring for Quantitative Risk Manager jobs?

Cities in Georgia with the most Quantitative Risk Manager job openings:

Infographic showing various Quantitative Risk Manager job openings in Georgia as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, 6% Contract, and 3% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $94,196 per year, or $45.3 per hour.

Full-time

Posted 12 days ago


Job description

Overview

Job Purpose

Intercontinental Exchange is looking for a Quantitative Engineer to be a part of our team. ย 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.ย  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.

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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

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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