1

Quantitative Risk Manager Jobs in Atlanta, GA (NOW HIRING)

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer ... management. * Develop and maintain reports, dashboards, and recurring analytics to provide ...

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer ... management. * Develop and maintain reports, dashboards, and recurring analytics to provide ...

Senior Credit Risk Analyst

Atlanta, GA · On-site

$110 - $140/hr

Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

Risk Analyst

Alpharetta, GA · On-site

$70 - $110/hr

Strong quantitative and problem‑solving skills. * Experience with Microsoft Office suite. Skills ... Management Duties * No We are committed to fostering an inclusive and diverse workplace. We are ...

Yamaha Motor Finance US has an exciting opportunity for a strong Risk & Analytics Manager to lead ... Drive key business initiatives including strategy design and optimization through quantitative ...

Senior Credit Risk Analyst

Atlanta, GA · On-site

$90 - $130/hr

Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

Showing results 41-60

Quantitative Risk Manager information

See Atlanta, GA salary details

$49K

$106.2K

$161.9K

How much do quantitative risk manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative risk manager in Atlanta, GA is $106,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $122,800.00 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 are the most commonly searched types of Quantitative Risk jobs in Atlanta, GA?

The most popular types of Quantitative Risk jobs in Atlanta, GA are:

What job categories do people searching Quantitative Risk Manager jobs in Atlanta, GA look for?

The top searched job categories for Quantitative Risk Manager jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Quantitative Risk Manager jobs?

Cities near Atlanta, GA with the most Quantitative Risk Manager job openings:

Infographic showing various Quantitative Risk Manager job openings in Atlanta, GA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $107,279 per year, or $51.6 per hour.

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 8 days ago


Job description

Overview

Job Purpose

The Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.

Responsibilities

  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience

  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives
----------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