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Model Risk Management Jobs in Virginia (NOW HIRING)

Guidehouse

Model Validation Lead

Mclean, VA · On-site

Advise clients on model risk management, AI governance, and responsible AI practices * Mentor junior staff and serve as a technical authority within analytics and AI engagements What You Will Need

Guidehouse

Model Validation Lead

Mclean, VA

Advise clients on model risk management, AI governance, and responsible AI practices * Mentor junior staff and serve as a technical authority within analytics and AI engagements What You Will Need

Guidehouse

Model Validation Lead

Arlington, VA

Advise clients on model risk management, AI governance, and responsible AI practices * Mentor junior staff and serve as a technical authority within analytics and AI engagements What You Will Need

Tecolote Research

Risk Management Analyst

VA · On-site

Develop risk statements, mitigation plans, and quantitative risk models * Support and participate ... Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics * 12 ...

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$36.2K

$81.6K

$136.8K

How much do model risk management jobs pay per year?

As of Jun 18, 2026, the average yearly pay for model risk management in Virginia is $81,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $89,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Model Risk Management position, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What are some common challenges faced by professionals in Model Risk Management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What is a Model Risk Management job?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What is the salary of model risk validation?

Model risk validation professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in statistical modeling and regulatory knowledge can earn higher salaries, often exceeding $180,000. Certifications such as FRM or CFA can also influence compensation in this field.

Is model risk management a good career?

Model risk management is a specialized field focused on identifying and mitigating risks associated with financial and statistical models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is in demand within financial institutions, regulatory agencies, and consulting firms, making it a stable career choice for those interested in risk analysis and quantitative methods.

What do model risk managers do?

Model risk managers are responsible for identifying, assessing, and mitigating risks associated with financial and operational models used within an organization. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using specialized tools and techniques. Their work helps prevent model errors from leading to financial loss or regulatory issues.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills, especially in financial institutions or large corporations.
What are the most commonly searched types of Model Risk Management jobs in Virginia? The most popular types of Model Risk Management jobs in Virginia are:
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Model Risk Management jobs near you
Data Analyst Manager - Model Risk Office

Data Analyst Manager - Model Risk Office

Capital One

Richmond, VA • On-site

Full-time

Posted 5 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

Data Analyst Manager - Model Risk Office

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

The Model Risk Governance - Reporting and Automation team sits within the Model Risk Office and serves for providing risk reporting to enterprise and process optimization for the department. Responsible for managing the enterprise-wide model risk reporting function, the team is actively driving a strategic transformation to replace legacy reporting with an interactive, GenAI-centric reporting ecosystem. In addition to innovating the reporting function, the team is deploying scalable, cutting-edge AI solutions-including intelligent multi-agent architectures-to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error. To accelerate this vision, the team has a vital need for forward-thinking talent eager to execute high-impact, AI-powered automation work that transforms how the enterprise visualizes and manages model risk.

What you'll do:

  • Builds and deploys scalable artificial intelligence and machine learning models to automate existing model risk management process, reporting and controls

  • Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions

  • Experiment with and develop advanced, multi-agent AI workflows designed to execute complex cognitive tasks.

  • Optimize data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics

  • Drive current and future strategy by leveraging your analytical skills

  • Assist with building and using models to test and validate data

  • Work with vast amounts of data in new and evolving environments

  • Be a part of growing and developing our brand in new and emerging markets

  • Leverage analytics to create a customer experience above our peers

  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

  • Be a part of the full life cycle of projects and see end results

  • Collaborate across business units

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

  • Experience real work life balance, with little travel involved

On any given day you will be:

  • Mining data to arrive at specific and crucial information for the organization

  • Identifying and implementing process, data, and reporting improvements for the organization

  • Working with large and complex databases containing millions to billions of records

  • Improving operational efficiencies and effectiveness

  • Conducting analysis to evaluate processes and tests

  • Extracting and analyzing data to gauge product offerings

  • Consulting on the design and implementation of new production and data storage systems

  • Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

  • Currently has, or is in the process of obtaining a:

    • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or

    • Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 7 years of professional data analysis work experience

  • At least 4 years of experience with Python, R, Spark or SQL

  • At least 1 year of experience in people management

  • At least 1 years of project management experience

  • At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight

  • At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment

  • At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio).

  • Proficient utilizing and developing within AWS service

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

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Data Analysis Manager


Richmond, VA: $149,800 - $171,000 for Data Analysis Manager


Chicago, IL: $149,800 - $171,000 for Data Analysis Manager









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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