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Quantitative Risk Analyst Jobs in Virginia (NOW HIRING)

Bechtel Global Corporation

Risk Manager

Reston, VA · On-site

Experience in Qualitative Risk and ability to perform Quantitative Risk Analysis (QRA) * Experience facilitating risk workshops, risk reviews/ sessions. * Minimum of 15 years of professional ...

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Quantitative Risk Analyst information

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$56K

$132.7K

$237.9K

How much do quantitative risk analyst jobs pay per year?

As of Jul 9, 2026, the average yearly pay for quantitative risk analyst in Virginia is $132,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $144,300.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Virginia? The most popular types of Quantitative Risk Analyst jobs in Virginia are:
What are popular job titles related to Quantitative Risk Analyst jobs in Virginia? For Quantitative Risk Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Virginia look for? The top searched job categories for Quantitative Risk Analyst jobs in Virginia are:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $132,729 per year, or $63.8 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 13 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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