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Quantitative Risk Analyst Jobs in Virginia (NOW HIRING)

The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD ... Outstanding quantitative, empirical analysis, and research skills * Coursework or work experience ...

Prepare and present executive-level risk reports, dashboards, and Quantitative Risk Analysis (QRA) results, providing actionable insights to senior management, clients, and key stakeholders.

Showing results 21-40

Quantitative Risk Analyst information

See Virginia salary details

$56K

$132.7K

$237.9K

How much do quantitative risk analyst jobs pay per year?

As of Aug 19, 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 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 key skills and qualifications needed to thrive as a quantitative risk analyst?

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 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 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:

Infographic showing various Quantitative Risk Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $132,729 per year, or $63.8 per hour.

Computational Modeling Data Analyst

Innovative Reasoning

Quantico, VA โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Provide on-site Computational Modeling Data Analysis, and subject matter expertise in support to Maritime Expeditionary Warfare, Headquarters Marine Corps, Deputy Commandant for Combat Development & Integration, Marine Corps Combat Development Command, located at Quantico, VA.
Responsibilities/Duties:
  • Reporting and Dashboards:
    • Identify and extract essential information from web instances or Excel files.
    • Once identified, data must be shown effectively/efficiently through presentations, working papers, and various dashboard technologies to inform leaders.
  • Simulation modeling and analysis:
    • Apply quantitative data science techniques (statistics, mathematics, computer science, and physics) to analyze naval capability portfolio performance, cost and optimization, multi-objective decision-making, sensitivity analysis.
  • Risk Analysis:
    • Apply Qualitative, quantitative and decision risk analysis techniques for risk identification/evaluation, risk handling, risk monitoring and risk management.
    • Conduct Quantitative Risk Analysis including:
      • Probabilistic Risk Assessment of platform performance, cost, and schedule.
      • Decision Risk Analysis includes applying risk and cost benefit techniques in decision making associated with significant risk or uncertainty.
    • Probability and statistical analysis:
      • Provide analytic process models, including various probability distributions (normal, binomial, Poisson, exponential, lognormal), probabilistic measures of system performance, data summaries (graphical and numerical), confidence intervals, hypothesis tests, regression analysis (single and multiple predictors), single-factor analysis of variance, and basic time-series analysis.

Supplemental Duties:
  • Provide essential actions required to develop relational databases and management systems using Microsoft Excel, Access, or other Department of Defense-approved database tools.
    • Includes extracting information from multiple and diverse large data sets, as well as storing, retrieving, managing, and controlling data.

Supervisory Responsibilities:
  • None

Education:
REQUIRED
  • Bachelor of Science (BS) in Data Science/Analytics, Mathematics, Statistics, or Engineering.

PREFERRED
  • BS in Computational Modeling & Data Analytics.

Skills/Qualifications and Certifications:
  • Must be comfortable presenting work to audience; must have ability to present and engage in a technical presentation to a non-technical audience.

Experience:
  • Experience in RStudio (preferred), or Python.
  • Experience in building dashboards: Power BI, R Shiny, Tableau, etc.

Location: The primary workplace will be the Marine Corps Combat Development Command, General Raymond G. Davis Center (Bldg. 3300), 3300 Russell Rd, Quantico, VA 22134.
Work Environment:
  • On-site Office Environment, amongst mixed military/civilian/contractor personnel.
  • Employees will be exposed to a wide variety of people with differing functions, personalities, and abilities.
  • Remote work may be authorized, in coordination with client.

Physical Demands:
  • Work is generally sedentary; there could be a requirement to assist in moving and repositioning computer systems, servers, and other office equipment weighing no more than 50 pounds per person (e.g., two-man lift 100 lbs.).
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Schedule: Full Time/40 hours per week. Mon-Fri/8 hours a day. Normal working hours are 8:00 AM - 4:00 PM (0800 - 1600).
License and Other Requirements:
  • Hold a valid US Driver's License, with ability to operate private, and commercial owned motor vehicles (Rental), as required for commuting and travel.
  • Must be able to obtain a contractor's common access card, which will stand as identification for instructors and will enable them to access government owned computer equipment and Non-secure Internet Protocol.

Salary and Benefits: As stated during the interview/hiring process.
Security Clearance: Possess or be eligible to posses an active U.S. Secret level security clearance. As required, obtain a Secure Internet Protocol (SIPR) access token for access to government SIPR computers terminals.
Travel: Travel to other government and/or contractor facilities, and/or ships may be required. Travel may be required on weekends and could include CONUS and OCONUS locations. The exact dates and duration of travel will vary dependent upon location and requirements of individual events to include planning, attendance at meetings, conferences, and/or wargames.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.