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

Specific activities may change from time to time. 1. Oversee the execution of various model validation reviews lead and managed by less experienced Quantitative Auditors within the Truist Model Risk ...

Specific activities may change from time to time. 1. Oversee the execution of various model validation reviews lead and managed by less experienced Quantitative Auditors within the Truist Model Risk ...

Investment Risk identifies, measures, and manages a wide array of investment-related risks across ... This Quantitative Engineer role sits within the Strategy & Execution team, which serves an ...

Investment Risk identifies, measures, and manages a wide array of investment-related risks across ... This Quantitative Engineer role sits within the Strategy & Execution team, which serves an ...

Manage a team of up to 3 risk and reporting analyst to provide analytical and reporting support to ... Perform quantitative analysis, statistical analysis, and monitoring of the company's entire Finance ...

Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fintech, quantitative risk management, and/or financial regulation; this will be demonstrated by ...

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Quantitative Risk Manager information

See Atlanta, GA salary details

$49.5K

$107.3K

$163.5K

How much do quantitative risk manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for quantitative risk manager in Atlanta, GA is $107,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $124,100.00 per year, depending on experience, location, and employer.

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 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.

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 are popular job titles related to Quantitative Risk Manager jobs in Atlanta, GA? For Quantitative Risk Manager jobs in Atlanta, GA, the most frequently searched job titles 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 May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $107,279 per year, or $51.6 per hour.

Risk Analysts - Hybrid - Temp to perm

CC Pace Systems, Inc.

Atlanta, GA โ€ข On-site

Contractor

Posted 25 days ago


Job description

Risk Analyst / Sr. Risk Analyst โ€“ Business Analytics & Forecasting

Automotive Lending Industry | Contract-to-Hire | Atlanta or Dallas

CC Pace is seeking Risk Analysts on behalf of a longstanding client within the automotive lending industry. These are contract-to-hire opportunities supporting a growing Risk Management and Analytics organization focused on portfolio analytics, forecasting, predictive modeling, and strategic risk initiatives balancing growth, risk, and capture rate in a high growth environment.

We are open to candidates ranging from emerging analysts to experienced mid-level professionals. Mid-level candidates will typically possess 3โ€“10 years of relevant experience in analytics, forecasting, quantitative modeling, risk management, or related disciplines.

This team values intellectual curiosity, enthusiasm, collaboration, and individuals who genuinely enjoy solving complex business problems with data. Candidates should be prepared to speak in depth about prior project work, including the business challenge, analytical methodology, tools used, tradeoffs considered, and measurable outcomes delivered.

Key Responsibilities

  • Mine, process, and analyze large datasets using advanced analytical techniques and tools
  • Build, recalibrate, validate, and maintain predictive and forecasting models
  • Develop recurring and ad-hoc reporting related to portfolio performance, forecasting, risk trends, and business operations
  • Analyze portfolio trends, KPIs, loss performance, residual values, depreciation trends, and economic factors
  • Present actionable insights and analytical findings to leadership and business stakeholders
  • Collaborate closely with Risk, IT, Finance, and business teams to support strategic decision making
  • Assist in troubleshooting data quality issues and improving analytical/reporting processes
  • Support ongoing enhancement of reporting frameworks, business intelligence capabilities, and forecasting methodologies

Required Qualifications

  • Bachelorโ€™s degree in Mathematics, Statistics, Economics, Computer Science, Finance, Accounting, or another quantitative discipline
  • Strong experience in analytics, forecasting, business intelligence, quantitative analysis, or risk management
  • Advanced Python skills are required and will be tested in the screening process.
  • Strong SQL skills required
  • Strong experience with analytical and statistical tools such as Python, R, SAS, Power BI, Fabric, or similar technologies.
  • Ability to work with statistical concepts and apply analytical findings to practical business situations
  • Strong verbal and written communication skills, you will present your findings to management
  • Proficiency with Microsoft Excel and related reporting tools

Preferred Qualifications

  • Experience within automotive lending, consumer lending, banking, captive finance, or financial services
  • Experience with predictive modeling, forecasting, or portfolio analytics
  • Experience with Power BI, or enterprise BI/data platforms

What Weโ€™re Looking For

We value candidates who are:

  • Intellectually curious and eager to continuously learn
  • Strong team players who collaborate well across technical and business teams
  • Enthusiastic, proactive, and highly engaged
  • Comfortable explaining technical work in detail
  • Detail oriented with strong critical thinking and problem-solving abilities
  • Able to balance analytical rigor with practical business judgment

Additional Information

  • Contract-to-hire opportunity after 6 months
  • We have a strong track record of conversions to permanent at this client
  • Hybrid work schedule