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Senior Quantitative Risk Analyst Jobs in Maryland

Model Risk Management Officer

Bethesda, MD ยท Hybrid

$152K - $261K/yr

... and quantitative financial risk analytics, administering model inventory, risk assessments ... senior management, risk committees, and regulatory authorities. Ensure the accuracy and ...

$86K - $198K/yr

Doctrine Analyst, Senior The Opportunity: As a defense mission professional, you ask questions ... Experience conducting qualitative and quantitative analysis to identify gaps, redundancies, and ...

Showing results 21-40

Senior Quantitative Risk Analyst information

See Maryland salary details

$51.9K

$106.6K

$138.3K

How much do senior quantitative risk analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior quantitative risk analyst in Maryland is $106,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $133,000.00 per year, depending on experience, location, and employer.

What is a senior quantitative risk analyst?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as a senior quantitative risk analyst?

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What are some typical challenges faced by senior quantitative risk analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

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

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

What are popular job titles related to Senior Quantitative Risk Analyst jobs in Maryland?

For Senior Quantitative Risk Analyst jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Risk Analyst jobs in Maryland look for?

The top searched job categories for Senior Quantitative Risk Analyst jobs in Maryland are:

What cities in Maryland are hiring for Senior Quantitative Risk Analyst jobs?

Cities in Maryland with the most Senior Quantitative Risk Analyst job openings:

Infographic showing various Senior Quantitative Risk Analyst job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $106,610 per year, or $51.3 per hour.

Model Risk Management Officer

EagleBank

Bethesda, MD โ€ข Hybrid

$152K - $261K/yr

Full-time

Medical, Retirement

Posted 8 days ago


Job description

Overview

We are a values driven organization putting Relationships FIRST. EagleBank (NASDAQ - EGBN) is focused on being Flexible, Involved, Responsive, Strong, and Trusted. By prioritizing meaningful connections with our customers, employees, and shareholders, we relentlessly deliver the most compelling, valuable service to our customers.EagleBank is committed to inclusion, equity, and respect. We celebrate diversity and intentionally seek out opportunities to learn from one another's experience. We believe employees are essential to the building of relationships and we prioritize investing in employee growth and wellbeing. Employee involvement is fostered through resource groups, mentorship programs, community service, and scholarship opportunities for continued education. With features including maternity and parental leaves, wellness discounts, healthcare premium sharing, employer funding in your HSA account, and 100% 401(k) matching up to 4%, we pride ourselves in the ways we support our internal relationships. The minimum and maximum projected annualized salary for this position is: $152,662.00 to $261,706.80. Additional compensation may be possible based on experience and skills.

We understand the need to be creative and flexible when it comes to telecommuting and other alternative work arrangements. This position is eligible for our hybrid remote work and will work in theย Bethesda, MDย office four days per week.

Responsibilities

The Model Risk Management Officer is the Bank's second-line expert for model risk and quantitative financial risk analytics, administering model inventory, risk assessments, validation, monitoring, governance, issue management, and regulatory reporting. The role also provides independent review and advice on stress testing, scenario analysis, CECL, portfolio and concentration risk, capital planning, liquidity risk, and related quantitative practices. This role partners with Finance, Treasury, Credit Risk, Internal Audit, Compliance, executive management, and regulators to ensure models and quantitative tools are appropriately governed, validated, monitored, and used

Essential Function:

  • Model Validation: Perform rigorous model validation to ensure the accuracy, robustness, and appropriateness of the bank's models. Review and validate models across different areas, including credit risk, market risk, liquidity risk, and operational risk. Evaluate model assumptions, data integrity, calibration, and performance, and provide recommendations for improvement when necessary.
  • Financial Risk Analytics and Advisory: Partner to provide review of stress testing methodologies, scenario analyses, assumptions, and results used across capital planning, liquidity risk management, CECL, concentration risk management, and portfolio risk assessment activities.
  • Risk Assessment: Analyze and assess the risks associated with the bank's models, including model limitations, data quality, and model assumptions. Identify potential model risks and develop risk mitigation strategies and controls to minimize the bank's exposure to model-related risks. Stay up to date with industry best practices and regulatory requirements related to model risk management.
  • Documentation and Reporting: Prepare comprehensive reports documenting the findings of model validation activities. Clearly communicate the results, including identified model risks and recommended actions, to senior management, risk committees, and regulatory authorities. Ensure the accuracy and completeness of documentation in compliance with internal policies and regulatory guidelines.
  • Collaboration and Stakeholder Management: Collaborate effectively with various stakeholders, including quantitative modelers, risk managers, senior management, and internal audit teams. Provide guidance and support to other teams in understanding and addressing model risk issues. Participate in meetings, committees, and working groups related to model risk management
  • Continuous Improvement: Proactively identify opportunities for enhancing the bank's model validation practices. Recommend and implement improvements in methodologies, processes, and tools used for stress testing and model validation. Stay abreast of emerging trends, industry standards, and regulatory changes in model risk management.
Qualifications

Requirements:

  • Bachelor's Degree in Arts/Sciences (BA/BS) or advanced degree in finance, economics, mathematics, statistics, or a related quantitative field
  • 8 years of experience in model risk management within the financial services industry, with a strong focus on stress testing and model validation
  • Demonstrated experience supporting financial risk analytics including stress testing, scenario analysis, credit portfolio analytics, capital planning, liquidity risk management, CECL methodologies, and concentration risk assessment within a financial institution
  • Able to model, analyze, identify, and communicate risk
  • Proficiency in statistical modeling, risk assessment techniques, and model validation principles
  • Familiarity with financial products, risk management frameworks, and Basel guidelines
  • Excel expertise - truly the highest level of excel user
  • Strong analytical and critical thinking skills, with the ability to think critically and independently
  • Excellent written and verbal communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders
  • Strong knowledge of the Interagency Model Risk Management Guidance (FRB SR 26-2 / OCC Bulletin 2026-13), foundational SR 11-7 model risk management principles, guidance related to CECL, capital planning, liquidity risk management, stress testing, and third-party model oversight

Preferences:

  • Familiarity with with Python, R, SQL, SAS, or similar analytical tools
  • Professional certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) are advantageous

Don't meet all the requirements? We encourage you to still apply if you think you are the right person to join our community. We are always interested connecting with people inspired by our mission and values. If you aren't hired for this position, your resume will remain available for the next year and might be considered for future openings. Note: You can update your resume as often as needed.

Employment Type: OTHER