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Credit Risk Analytics Manager Jobs in Ashburn, VA

EagleBank

Model Risk Management Officer

Bethesda, MD · On-site

$152K - $261K/yr

Demonstrated experience supporting financial risk analytics including stress testing, scenario analysis, credit portfolio analytics, capital planning, liquidity risk management, CECL methodologies ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

As part of the Models & Analytics team, this role will primarily support Freddie Mac's Counterparty Credit Risk Management and Asset-Liability Management functions, with responsibilities spanning ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

As part of the Models & Analytics team, this role will primarily support Freddie Mac's Counterparty Credit Risk Management and Asset-Liability Management functions, with responsibilities spanning ...

EagleBank

US-MD-Bethesda

Bethesda, MD · Hybrid

$152K - $261K/yr

Demonstrated experience supporting financial risk analytics including stress testing, scenario analysis, credit portfolio analytics, capital planning, liquidity risk management, CECL methodologies ...

Lendable

Senior Credit Risk Manager

Arlington, VA

... Manager to join our U.S. team. In this role, you will help drive a step-change in how we measure ... You will own core analytical infrastructure that underpins how we improve credit strategy, evaluate ...

Sony Corporation

Analyst, Risk Analytics

Reston, VA · On-site

$100 - $125/hr

Reporting to the Director of Risk Analytics, you will help transform diverse and complex datasets ... Working knowledge of common information security and IT concepts, such as vulnerability management ...

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Credit Risk Analytics Manager information

What does a credit risk analytics manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.

What are the key skills and qualifications needed to thrive as a credit risk analytics manager?

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

How does a credit risk analytics manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

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Credit Risk Analytics Manager jobs near you

Model Risk Management Officer

EagleBank

Bethesda, MD • On-site

$152K - $261K/yr

Full-time

Medical, Retirement

Posted 11 days ago

Key responsibilities

  • Develop and implement stress testing frameworks and methodologies to assess the bank's exposure to various stress scenarios.

  • Perform rigorous model validation to ensure the accuracy, robustness, and appropriateness of the bank's models across different risk areas.

  • Analyze and assess the risks associated with the bank's models, including model limitations, data quality, and assumptions, and develop risk mitigation strategies.

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 the Bethesda, MDoffice 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.

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