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Quantitative Risk Manager Jobs in Virginia (NOW HIRING)

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Quantitative Risk Manager information

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$51.1K

$110.6K

$168.5K

How much do quantitative risk manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for quantitative risk manager in Virginia is $110,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $127,900.00 per year, depending on experience, location, and employer.

What can I do with a quantitative risk management degree?

A degree in quantitative risk management prepares individuals for roles such as risk analyst, risk manager, or quantitative analyst in finance, insurance, or consulting firms. These roles involve assessing and modeling financial risks using statistical tools, programming languages like Python or R, and risk management frameworks. Professionals in this field often work with regulatory compliance and may pursue certifications like FRM or PRM.

What is the salary of a quant risk manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often associated with experience, advanced degrees, and certifications such as FRM or CFA. In addition to base salary, bonuses and performance incentives can significantly increase total compensation in this role.

What does a quantitative risk manager do?

A quantitative risk manager analyzes financial data and models to identify, measure, and manage risks within an organization. They use statistical techniques, programming skills, and risk management tools to develop strategies that minimize potential losses and ensure regulatory compliance.

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.

How much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in mathematics, programming, and risk modeling are essential for higher-paying positions.

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 popular job titles related to Quantitative Risk Manager jobs in Virginia? For Quantitative Risk Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Virginia look for? The top searched job categories for Quantitative Risk Manager jobs in Virginia are:
What cities in Virginia are hiring for Quantitative Risk Manager jobs? Cities in Virginia with the most Quantitative Risk Manager job openings:
Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,599 per year, or $53.2 per hour.
Quantitative Risk Analysis Tech Lead (Single-Family Business)

Quantitative Risk Analysis Tech Lead (Single-Family Business)

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Freddie Mac is committed to making home possible for families across the country. They are seeking a Quantitative Risk Analysis Tech Lead to bridge the gap between business stakeholders and data teams, focusing on delivering high-quality sampling and reporting services. The role involves leading technical development, modernizing workflows, and driving analytics initiatives to enhance risk management processes.
Responsibilities:
• Drive modernization of sampling, reporting, and analytics workflows by identifying opportunities to simplify, automate, and scale existing processes and tools.
• Shape technical approaches and analytical frameworks for new initiatives, ensuring solutions are practical, scalable, and aligned with business priorities and risk management objectives.
• Lead development and governance of the team’s overall sampling codebase and related technical assets across SAS, SQL, Python, Snowflake and UNIX-based workflows.
• Partner closely with Single-Family data and technology teams to define data requirements, resolve issues, and build sustainable data solutions that bridge legacy and modern QC systems.
• Support peer technical code reviews for the team and ad hoc analytics for leadership.
Qualifications:
Required:
• Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
• 7+ years of relevant professional experience, preferably 5+ years recent experience in mortgage or financial services industries
• 5+ years recent experience with analyzing large datasets using a combination of SQL and SAS/Python/R.
Preferred:
• 3+ years recent experience with data visualization tools such as Tableau (preferred to include server/site administration) and/or Power BI
• Knowledge of standard processes and risk controls around data and analytics is a must; DBA experience with cloud databases such as Snowflake is preferred
• Knowledge of and experience with statistical modeling and/or AI/ML models is helpful
Company:
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders. Founded in 1970, the company is headquartered in Mclean, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
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About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

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