Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent ...
Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent ...
Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent ...
New
Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent ...
New
Sr. Audit Manager - Quant
Richmond, VA · On-site
Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...
Sr. Audit Manager - Quant
Richmond, VA · On-site
Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...
Quantitative Analytics Tech Lead (Multifamily business)
Mclean, VA · On-site
$144K - $216K/yr
The Enterprise Model Risk Department is responsible for model risk oversight. This Quantitative Analytics Tech Lead will be a member the MF model validation team. The main responsibility of the team ...
Quantitative Analytics Tech Lead (Multifamily business)
Mclean, VA · On-site
$144K - $216K/yr
The Enterprise Model Risk Department is responsible for model risk oversight. This Quantitative Analytics Tech Lead will be a member the MF model validation team. The main responsibility of the team ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk indicators, identify emerging risks early, assess new initiatives and policy changes, and evaluate ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk indicators, identify emerging risks early, assess new initiatives and policy changes, and evaluate ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk indicators, identify emerging risks early, assess new initiatives and policy changes, and evaluate ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk indicators, identify emerging risks early, assess new initiatives and policy changes, and evaluate ...
Collaborate with Compliance, Model Risk Management, Operational Risk, and Internal Audit to ensure comprehensive risk coverage and consistent messaging. * Contribute to continuous improvement of ...
Collaborate with Compliance, Model Risk Management, Operational Risk, and Internal Audit to ensure comprehensive risk coverage and consistent messaging. * Contribute to continuous improvement of ...
Work closely with other Enterprise Risk teams, including Credit, Model Risk, Compliance, and Third-Party Risk Management, to support end-to-end risk governance across credit, capital, model, and ...
Work closely with other Enterprise Risk teams, including Credit, Model Risk, Compliance, and Third-Party Risk Management, to support end-to-end risk governance across credit, capital, model, and ...
Work closely with other Enterprise Risk teams, including Credit, Model Risk, Compliance, and Third-Party Risk Management, to support end-to-end risk governance across credit, capital, model, and ...
Work closely with other Enterprise Risk teams, including Credit, Model Risk, Compliance, and Third-Party Risk Management, to support end-to-end risk governance across credit, capital, model, and ...
SVP Enterprise Risk Office
Mclean, VA · Hybrid
Model, evangelize and educate the organization regarding a proactive Risk culture across the entire Enterprise. * Establish and quantify the organization's risk appetite and recommend to the Board of ...
SVP Enterprise Risk Office
Mclean, VA · Hybrid
Model, evangelize and educate the organization regarding a proactive Risk culture across the entire Enterprise. * Establish and quantify the organization's risk appetite and recommend to the Board of ...
Quant Audit Manager
Richmond, VA · On-site
$102K - $135K/yr
Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...
Quant Audit Manager
Richmond, VA · On-site
$102K - $135K/yr
Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...
Quantitative Analytics & Model Development Consultant - Data, Modeling & Analytics
Tysons Corner, VA · On-site
As a Quantitative Analytics & Model Development Consultant within PNC's Data, Modeling & Analytics ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...
Quantitative Analytics & Model Development Consultant - Data, Modeling & Analytics
Tysons Corner, VA · On-site
As a Quantitative Analytics & Model Development Consultant within PNC's Data, Modeling & Analytics ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...
Quantitative Model Review Support the capital markets model risk / validation for a leading financial institution Responsibilities: * Perform all tasks related to model validation to evaluate and ...
Quick apply
Quantitative Model Review Support the capital markets model risk / validation for a leading financial institution Responsibilities: * Perform all tasks related to model validation to evaluate and ...
... model risk management, credit administration, and loan policy 2. Strong leadership, decision-making and communication skills in the discussion of risk management with a wide range of management ...
... model risk management, credit administration, and loan policy 2. Strong leadership, decision-making and communication skills in the discussion of risk management with a wide range of management ...
Quantitative Analytics and Model Consultant - Credit Scoring and Originations
Tysons Corner, VA · On-site
As a Quantitative Analytics and Model Consultant within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA or Tysons Corner, VA. As a model validator you will perform ...
Quantitative Analytics and Model Consultant - Credit Scoring and Originations
Tysons Corner, VA · On-site
As a Quantitative Analytics and Model Consultant within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA or Tysons Corner, VA. As a model validator you will perform ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Senior Manager Fraud Strategy and Trend Analytics (HYBRID--Richmond, VA)
Glen Allen, VA · On-site
$64.98 - $108.56/hr
This leader partners closely with Fraud Operations, Technology, Product, Model Risk, and vendor partners to evaluate and deploy fraud tools, monitor performance, and optimize end-to-end defenses.
Senior Manager Fraud Strategy and Trend Analytics (HYBRID--Richmond, VA)
Glen Allen, VA · On-site
$64.98 - $108.56/hr
This leader partners closely with Fraud Operations, Technology, Product, Model Risk, and vendor partners to evaluate and deploy fraud tools, monitor performance, and optimize end-to-end defenses.
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Conducting risk assessments across privacy, security, model risk, and misuse scenarios, including prompt injection, sensitive data exposure, excessive agency, and overreliance, and translating ...
Model Risk information
What are some typical challenges faced by professionals working in Model Risk, and how can they be addressed?
Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.
What are the key skills and qualifications needed to thrive as a Model Risk Analyst, and why are they important?
To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.
What is the difference between Model Risk vs Model Validation?
| Aspect | Model Risk | Model Validation |
|---|---|---|
| Primary Focus | Identifying, assessing, and mitigating risks associated with models | Evaluating and testing models to ensure accuracy and reliability |
| Required Credentials | Quantitative skills, risk management certifications, industry experience | Quantitative expertise, validation certifications, industry knowledge |
| Work Environment | Risk management teams within financial institutions or firms | Model validation teams, often within risk or model development departments |
| Industry Usage | Used across banking, insurance, and investment firms to manage model-related risks | Commonly employed in financial services to verify model performance |
Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.
What is model risk?
Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.
What are the most commonly searched types of Model Risk jobs in Virginia? The most popular types of Model Risk jobs in Virginia are:
What are popular job titles related to Model Risk jobs in Virginia? For Model Risk jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in Virginia look for? The top searched job categories for Model Risk jobs in Virginia are:
Full-time
Posted 3 days ago
Navy Federal Credit Union rating
8.1
Based on 265 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Job Description
Manages, directs, and supervises staff responsible for AI Risk Governance activities, and implements policies and tactical plans relative to the governance, oversight, and management of AI-related risks. Manages one or more processes related to the identification, assessment, control, and ongoing monitoring of AI use cases across the enterprise, including AI lifecycle governance, risk assessment execution, and inventory management.
Responsibilities
Qualifications
Desired Qualifications
Additional Information
Hours:
Location:
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Manages, directs, and supervises staff responsible for AI Risk Governance activities, and implements policies and tactical plans relative to the governance, oversight, and management of AI-related risks. Manages one or more processes related to the identification, assessment, control, and ongoing monitoring of AI use cases across the enterprise, including AI lifecycle governance, risk assessment execution, and inventory management.
Responsibilities
- Conceptualize and implement frameworks, tools, and methodologies to independently identify, assess, and oversee operational and regulatory risks related to Artificial Intelligence, ensuring effective risk management practices, compliance with regulations, and adherence to enterprise risk appetite
- Oversee and independently review and challenge functional and operational risk processes, including root cause analysis, risk assessments, and the design and implementation of internal controls
- Develop and implement Key Risk Indicators (KRI) to provide independent risk insight and monitoring of risk exposure across AI use cases
- Oversee and independently challenge the identification and remediation of control deficiencies, conduct quality control reviews, assess the effectiveness of controls, and oversee corrective actions to support informed management decisions and risk mitigation
- Communicate risk governance standards, quality assurance procedures, and effective control practices to support consistent application of enterprise risk expectations
- Evaluate the adequacy and effectiveness of corrective actions taken on past reviews and provide independent reporting and challenge on the status of approved recommendations
- Partner with management and key staff from other business units to provide independent guidance and effective challenge on operational risk issues, risk identification, and solution design
- Ensure understanding and independent oversight of implementation of new operational risk policies and procedures
- Develop and translate strategy and goals into second-line oversight priorities, objectives, plans, and actions
- Apply subject matter expertise in AI risk governance and second-line oversight to independently assess and challenge the consistent application of policies, standards, and governance requirements
- Provide guidance to business units, Risk Officers, and peer risk domains on AI risk treatment, governance expectations, and control design, while maintaining independent oversight and effective challenge
- Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent challenge
Qualifications
- Broad knowledge of applicable federal and state laws, rules and regulations
- Broad knowledge of banking/financial industry trends, products and services
- Experience leading an analytics operation, preferably in a large financial institution, including operational and regulatory risk controls
- Strong understanding of governance structures
- Experience demonstrating thought-leadership, initiative-taking, decision making and creativity solving business problems
- Experience managing multiple priorities independently and/or in a team environment to achieve goals
- Broad knowledge of regulatory and industry standards impacting financial and debit/credit card products debit/credit card fraud detection, analytics, trends, programs and industry regulations
- Experience analyzing data to identify red flags for operational risks
- Experience collaborating with all levels of staff, management, stakeholders, vendors
- Bachelor's Degree in Business Administration, Auditing, or related field or equivalent combination of training, education and experience
Desired Qualifications
- Master's Degree in related field or equivalent combination of training, education and experience
- Understanding AI solutions and/or AI Governance and Risk Management processes
- Demonstrated experience with NIST AI Risk Management Framework or similar
Additional Information
Hours:
- Monday - Friday, 8:00AM - 4:30PM
Location:
- 820 Follin Lane, Vienna, VA 22180
- 5510 Heritage Oaks Drive, Pensacola, FL 32526
- 141 Security Drive, Winchester, VA 22602
- 9999 Willow Creek Road San Diego, CA 92131
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
- FORTUNE 100 Best Companies to Work For® 2025
- Yello and WayUp Top 100 Internship Programs
- Computerworld® Best Places to Work in IT
- Newsweek Most Loved Workplaces
- 2025 PEOPLE® Companies That Care
- Newsweek Most Trustworthy Companies in America
- Military Times 2025 Best for Vets Employers
- Best Companies for Latinos to Work for 2025
- Forbes® 2025 America's Best Large Employers
- Forbes® 2025 America's Best Employers for New Grads
- Forbes® 2025 America's Best Employers for Tech Workers
- 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
- Military.com Top Military Spouse Employers 2025
- 2025 Handshake Early Talent Award
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
What Navy Federal Credit Union employees say
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About Navy Federal Credit Union
Sourced by ZipRecruiter
Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
Vienna, VA, US
Year founded
1933