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Quantitative Risk Analyst Jobs in Washington (NOW HIRING)

TechWish

Quantitative Risk Modeler

Vienna, VA · Hybrid

$55 - $71.25/hr

Quantitative Risk Modeler Location: Hybrid, Vienna, VA Schedule: Monday Friday, 40 hours/week ... analysis. Experience working with data visualization applications like PowerBI and Plotly.

AECOM

Risk Manager

Washington, DC · On-site

Developing and undertaking advanced Quantitative Risk Analysis including Cost, Schedule and integrated Cost and Schedule analyses, to enable robust forecasting and tracking of risk exposure. * Assist ...

AECOM

Risk Manager

Washington, DC · On-site

Developing and undertaking advanced Quantitative Risk Analysis including Cost, Schedule and integrated Cost and Schedule analyses, to enable robust forecasting and tracking of risk exposure. * Assist ...

Booz Allen Hamilton

Enterprise Risk Analyst

Bethesda, MD · On-site

$62K - $141K/yr

Enterprise Risk Analyst The Opportunity : As an experienced Risk Analyst, you will execute the VA ... These risk factors are summarized, evaluated, and reported using quantitative and qualitative ...

Booz Allen Hamilton

Enterprise Risk Analyst

Reston, VA · On-site

$62K - $141K/yr

Enterprise Risk Analyst The Opportunity : As an experienced Risk Analyst, you will execute the VA ... These risk factors are summarized, evaluated, and reported using quantitative and qualitative ...

Booz Allen Hamilton

Enterprise Risk Analyst

Mclean, VA · On-site

$62K - $141K/yr

Enterprise Risk Analyst The Opportunity : As an experienced Risk Analyst, you will execute the VA ... These risk factors are summarized, evaluated, and reported using quantitative and qualitative ...

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Quantitative Risk Analyst information

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$64K

$151.6K

$271.8K

How much do quantitative risk analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative risk analyst in Washington is $151,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $164,800.00 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 Washington? The most popular types of Quantitative Risk Analyst jobs in Washington are:
What are popular job titles related to Quantitative Risk Analyst jobs in Washington? For Quantitative Risk Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Washington look for? The top searched job categories for Quantitative Risk Analyst jobs in Washington are:
What cities in Washington are hiring for Quantitative Risk Analyst jobs? Cities in Washington with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
Quantitative Risk Modeler

Quantitative Risk Modeler

Seneca Resources, LLC

Vienna, VA • On-site

$77/hr

Other

Posted 20 days ago

Job description

Title: Quantitative Risk Modeler
Location: Vienna, VA OR Winchester, VA OR Pensacola, FL
Job Type: Contract (extensions expected)
Years of Experience: 10+ years and/or doctorate degree required
Pay Rate:
Pensacola Pay : $60/hr on W2 or $72/hr on C2C
Winchester Pay : $63.00/hr on W2 or  $71/hr on C2C
Vienna Pay:$70/hr on W2 or $77/hr on C2C
 

Role Summary

This is a senior-level (10+ years / PhD) position focused on quantitative modeling for cybersecurity risk. It blends:

  • Advanced mathematics & statistics
  • Machine learning & probabilistic modeling
  • Cybersecurity analytics
  • Data engineering + visualization
Core Responsibilities (implied)

Although not explicitly listed, based on the requirements, you’d likely:

  • Build risk models using probability, statistics, and ML
  • Apply game theory to simulate attacker vs defender scenarios
  • Analyze large datasets (cyber/security data)
  • Design data pipelines and models
  • Create dashboards and visualizations for leadership
  • Translate complex technical insights into business decisions
Required Qualifications

Very high bar:

  • PhD in Mathematics, Physics, or Statistics (or equivalent deep experience)
  • 10+ years of experience
Strong theoretical background in:
  • Probabilistic theory
  • Dynamic systems
  • Statistical modeling
  • Machine learning algorithms
Technical Skills

You’re expected to be very strong in:

  • Programming: Python, SQL
  • Tools: Jupyter Notebook / VS Code
  • Data concepts:
    • Data modeling
    • Data mining
    • Database design
  • Visualization:
    • Strategy + tools like Power BI, Plotly
Advanced / Niche Expertise

This is what makes the role elite-level:

  • Game Theory (important!)
    • Bayesian games
    • Nash equilibrium
    • Algorithmic game theory
  • Cybersecurity knowledge:
    • Security frameworks
    • Risk analytics
Soft Skills

They emphasize:

  • Communication with both technical & non-technical stakeholders
  • Presentation skills (likely reporting to leadership)
  • Ability to simplify complex models into actionable insights.


About Seneca Resources:
Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

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