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Quantitative Risk Analyst Jobs in Virginia (NOW HIRING)

Tecolote Research

Cost Estimator/Cost Analyst

VA · On-site

Conduct comprehensive cost-benefit and quantitative risk analysis studies. * Provide cost impact estimates for program and project change requests, additions, and re-baselining activities. * Analyze ...

Tecolote Research

Cost Estimator/Cost Analyst

VA · On-site

Overview Tecolote Research, Inc. is seeking a highly experienced Cost Estimating Analyst to support ... Knowledge of quantitative risk assessment and cost research methodologies. Education Bachelor ...

Freddie Mac

Quantitative Analytics Tech Lead

Mclean, VA · On-site

Freddie Mac's Enterprise Risk Division is currently seeking a Quantitative Analytics Tech Lead to join the Single Family Acquisition Credit Risk team. The Tech Lead will be responsible for oversight ...

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How much do quantitative risk analyst jobs pay per year?

As of May 29, 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 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 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 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 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 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
Cost Estimator/Cost Analyst

Cost Estimator/Cost Analyst

Tecolote Research

On-site

Full-time

Posted 13 days ago

Job description

Overview
We are seeking an experienced Cost Analyst to support large and technically complex NASA and Aerospace programs. This position is ideal for professionals with 7-12 years of applicable experience, including 4-6 years within the Government or Aerospace industry. The successful candidate will operate independently, applying advanced analytical methods and cost estimation techniques to support high-impact program decisions.
Responsibilities
  • Serve as an independent cost analyst on major, high-visibility, or technically complex projects.
  • Develop and implement approaches to solve complex cost, schedule, and programmatic challenges.
  • Conduct comprehensive cost-benefit and quantitative risk analysis studies.
  • Provide cost impact estimates for program and project change requests, additions, and re-baselining activities.
  • Analyze and interpret raw engineering, technical, and cost data to support detailed estimates.
  • Develop and maintain Work Breakdown Structures (WBS), and create charts, tables, graphs, and diagrams to support data visualization and problem analysis.
  • Operate and analyze parametric cost models and statistical forecasting tools.
  • Utilize advanced analytical techniques, including:
    • Uni- and multi-variate statistical and regression analysis
    • Learning curve analysis
    • Cost accounting (direct and indirect cost analysis)
    • Escalation index development
    • Cost Estimating Relationships (CERs)
  • Support the integration of cost tools with program data sources and participate in model development, validation, and refinement.

Collaborate closely with government stakeholders, contractors, and technical teams to align cost strategy with program goals.
Skills Required
  • Bachelor's degree in Engineering, Business, Mathematics, Economics, Operations Research, or a related field.
  • 7-12 years of applicable experience, including 4-6 years of Government or Aerospace industry experience.
  • Demonstrated ability to independently manage and contribute to cost analysis efforts on complex projects.
  • Proficiency with Microsoft Excel and other Office applications (PowerPoint, Word).
  • Experience using industry cost tools such as ACEIT, SEER, PRICE TruePlanning, PCEC, NICM, or equivalent.
  • Excellent written, verbal, and visual communication skills.
  • Strong problem-solving, analytical, and statistical skills.
  • Ability to obtain a security clearance.
  • U.S. citizenship is required.

Desired Qualifications:
  • Experience supporting NASA or other major government space or defense programs.
  • Advanced knowledge of WBS structures, cost estimation methodologies, and operations research.
  • Experience presenting to senior government officials or contractor leadership.
  • Familiarity with program lifecycle cost management and budgeting processes.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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