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Quantitative Risk Manager Jobs in Bethesda, MD (NOW HIRING)

Amicis Global

Quantitative Analyst

Washington, DC · On-site

Job Title: Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule ... This role will support capital markets trading and market risk management by translating business ...

Sallie_mae

Manager, Model Risk

Sterling, VA

May manage a Model Risk team and provide guidance, support, and mentorship to team members ... Strong knowledge of quantitative analysis, statistical techniques, and risk assessment ...

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Quantitative Risk Manager information

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$55.2K

$119.6K

$182.2K

How much do quantitative risk manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quantitative risk manager in Bethesda, MD is $119,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $138,300.00 per year, depending on experience, location, and employer.

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.

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.

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 Bethesda, MD?

For Quantitative Risk Manager jobs in Bethesda, MD, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Bethesda, MD look for?

The top searched job categories for Quantitative Risk Manager jobs in Bethesda, MD are:

What cities near Bethesda, MD are hiring for Quantitative Risk Manager jobs?

Cities near Bethesda, MD with the most Quantitative Risk Manager job openings:

Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Bethesda, MD as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $119,558 per year, or $57.5 per hour.

Senior Manager, Quantitative Analysis - Model Risk Office

Hobbsnews

Mclean, VA • On-site

$229.90 - $262.40/hr

Other

Posted 3 days ago

New

Job description

Senior Manager, Quantitative Analysis – Model Risk Office

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring every credit card offer using statistical modeling and relational databases, cutting‑edge technology in 1988. That innovation and our passion for data has propelled us to a Fortune 200 company and a leader in data‑driven decision making.

As the Quantitative Senior Manager, you will be part of a team leading the next wave of disruption at a whole new scale, using the latest cloud computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time, and financial pain.

In the Model Risk function, you will partner with high‑performing model development and model risk teams that advance Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.

Responsibilities and Skills
  • Remain at the leading edge of analytical technology with a passion for innovative tools.
  • Develop alternative model approaches to assess model design and advance future capabilities.
  • Understand relevant business processes and portfolios associated with model use.
  • Address technical issues in econometric, statistical, and machine learning modeling and apply these skills to develop models and assess model risks and opportunities.
  • Communicate technical subject matter clearly and concisely to individuals from varied backgrounds, both verbally and in written communication; prepare presentations of complex technical concepts for non‑specialist audiences and senior management.
  • Maintain the efficiency and accuracy of models through continuous improvement and best‑practice application.
  • Develop and maintain high‑quality, transparent documentation.
  • Leverage open‑source technologies and tools to identify opportunities in the existing framework.
Basic Qualifications
  • Currently holds or is in the process of obtaining one of the following:
    • A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of quantitative analytics experience.
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of quantitative analytics experience.
  • At least 5 years of experience in each of the following areas:
    • Statistical or econometric modeling
    • Linear and logistic regression
    • Programming in R, Python, or SQL
    • Presenting statistical concepts and research results to non‑statistical audiences
  • At least 5 years of experience in at least 3 of the following areas:
    • Survival analysis modeling
    • Time‑series analysis
    • Panel data (longitudinal or cross‑sectional time‑series) analysis
    • Cross‑sectional data analysis
    • Machine learning
    • Analysis and management of large datasets (over 1 million records)
Preferred Qualifications
  • 6 years of experience with Python, R, or other statistical software.
  • 6 years of experience in statistical modeling, regression analytics, or machine learning.
  • 2 years of experience managing people.
Additional Information

Capital One will consider sponsoring a qualified applicant for employment authorization for this position.

Competitive salary ranges vary by location. Example: McLean, VA – $229,900 to $262,400 for Sr Mgr, Quantitative Analysis.

Bonus and incentive compensation may be available, and Capital One offers a comprehensive set of health, financial, and other benefits that support overall well‑being.

Capital One is an equal‑opportunity employer, committed to non‑discrimination in compliance with applicable federal, state, and local laws. The company promotes a drug‑free workplace and will consider qualified applicants with a criminal history in a manner consistent with applicable laws.

If you need reasonable accommodations, please contact Capital One Recruiting at 1‑800‑304‑9102 or email RecruitingAccommodation@capitalone.com. All information you provide will remain confidential and will be used only as required to provide accommodations.

For technical support or questions about Capital One’s recruiting process, please contact Careers@capitalone.com.

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