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Ai Risk Analyst Jobs in Virginia (NOW HIRING)

CapTech Consulting

GRC Team Lead

Richmond, VA · On-site +1

... analyze and respond to security questionnaires. * Build AI-enabled automations and agents to streamline GRC tasks such as evidence review, risk triage, and reporting. * Serve as a subject-matter ...

CapTech Consulting

GRC Team Lead

Richmond, VA

... analyze and respond to security questionnaires. * Build AI-enabled automations and agents to streamline GRC tasks such as evidence review, risk triage, and reporting. * Serve as a subject-matter ...

CapTech Consulting

GRC Team Lead

Richmond, VA · On-site

... analyze and respond to security questionnaires. * Build AI-enabled automations and agents to streamline GRC tasks such as evidence review, risk triage, and reporting. * Serve as a subject-matter ...

CapTech Consulting

GRC Team Lead

Richmond, VA · On-site

... analyze and respond to security questionnaires. * Build AI-enabled automations and agents to streamline GRC tasks such as evidence review, risk triage, and reporting. * Serve as a subject-matter ...

Freddie Mac

Operational Risk Professional

Mclean, VA · On-site

... AI tools and their practical implementation * Detail-oriented, analytical and good written and ... risk. Employees exercise this responsibility by executing against policies and procedures and ...

Booz Allen Hamilton

Risk Management Analyst

Mclean, VA

$69K - $158K/yr

Risk Management Analyst The Opportunity: Use your industry or domain expertise to assess risk ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Ai Risk Analyst information

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$15

$40

$65

How much do ai risk analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai risk analyst in Virginia is $40.14, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $48.85 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

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Infographic showing various Ai Risk Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $83,487 per year, or $40.1 per hour.

IT Risk Tech Lead - AI and Model Risk Governance

Freddie Mac

Mclean, VA • On-site

Full-time

Re-posted 6 days ago

Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
The Enterprise Operations & Technology (EO&T) Risk Governance Team provides risk management support to the maturing of EO&T division's model risk governance process and the enterprise-wide adoption of AI risk governance framework. We work closely with all three lines of defense, and business partners on a series of risk governance and reduction activities.
Our Impact:
  • Develop and operationalize scalable model governance processes within EO&T division to promote effective model governance compliant with regulatory requirements
  • Support enterprise Artificial Intelligence (AI) adoption through the development and enhancement of critical governance technology solutions
  • Execute risk mitigation processes to ensure compliance with model and AI governance requirements
  • Develop and deliver management reporting and insights to stakeholders on the model and AI governance and compliance programs
  • Facilitate continuous monitoring, reporting, and improvement of compliance with regulatory and corporate requirements

Your Impact:
  • Lead the development, implementation, and continuous improvement of model governance operating processes
  • Drive process automation initiatives to improve operational efficiency and scalability
  • Lead and support operational control testing activities to assess control execution effectiveness
  • Coordinate and manage third-party vendor risk governance activities, including vendor SOC and Enhanced Information Risk Review
  • Lead AI Clearinghouse operations and strategic initiatives, including AI solutions and use case intake governance, stakeholder support, anomaly resolution, management reporting, and platform enhancement
  • Partner with cross-functional stakeholders to enhance and implement platform and tool enhancements and operational improvements
  • Support management in executing strategic initiatives, risk mitigation efforts, and other high-priority projects
  • Serve as a trusted advisor to business, technology, and risk partners on model, AI, vendor governance requirements

Qualifications:
  • Bachelor's degree in a relevant field such as Computer Science, Information Systems, Finance, Risk Management or a related field. Advanced degrees (MBA, MS, or equivalent) preferred
  • Minimum of 8 years of experience in model risk governance, AI/ML risk management, operational risk management, technology risk management, or related governance and compliance functions
  • Experience developing, implementing, or operating model governance and AI governance, and ability to interpret regulatory requirements and translating governance standards into operational processes and controls
  • Working knowledge of the COSO internal control framework, the NIST controls framework, operational risk management principles, and financial industry governance and compliance practices
  • Previous experience in IT audit, operational risk management, regulatory compliance, or a Big Four consulting
  • Relevant professional certifications such as CISA, CISSP, CISM, CPA, CIA Security+, or similar certifications are strongly desired

Keys to Success in this Role:
  • Strong technical, analytical, problem-solving, and critical thinking skills
  • Excellent written, verbal, and interpersonal communication skills
  • Self-motivated and proactive professional with a strong sense of ownership and accountability
  • Ability to adapt changes positively and quickly
  • Ability to manage competing priorities and deliver high-quality results in a fast-paced environment
  • Ability to work independently while fostering collaboration across diverse teams and stakeholders
  • Intellectual curiosity and passion for learning emerging technologies, AI and model trends, and evolving regulatory requirements
  • Strong organizational and project management skills with attention to detail and excellence.
  • Ability to drive process improvements, automation, and operational excellence.

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $136,000 - $204,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

What Freddie Mac employees say

Pay

Hours and flexibility

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About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

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