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Ai Risk Analyst Jobs in Reston, VA (NOW HIRING)

AMA Consulting, LLC, a Maryland-based Limited Liability Company, provides analytical, acquisition ... Develop AI risk assessment frameworks for federal mission environments. * Establish policies for ...

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for ai risk analyst in Reston, VA is $42.12, according to ZipRecruiter salary data. Most workers in this role earn between $31.01 and $51.25 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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.

What are AI Risk Analysts?

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 are popular job titles related to Ai Risk Analyst jobs in Reston, VA? For Ai Risk Analyst jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Ai Risk Analyst jobs? Cities near Reston, VA with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Reston, VA as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $87,608 per year, or $42.1 per hour.
MF Risk - Risk Analysis - Lead Associate

MF Risk - Risk Analysis - Lead Associate

Fannie Mae

Washington, DC

Full-time

Medical, Life

Posted 12 days ago


Job description

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

As a Multifamily Risk Analysis Lead Associate, you will lead operational and compliance risk assessments, support complex lender onboarding activities, and strengthen the risk management framework for Fannie Mae’s Multifamily Delegation, Underwriting, and Servicing (DUS®) lender network.

You will leverage risk management expertise, analytical skills, and relationship management capabilities to deliver meaningful risk insights, advise business leaders on emerging risks, and support the operational strength and compliance of Multifamily counterparties.

A key focus of this role is managing end-to-end lender onboarding transactions, including mergers and acquisitions (M&A), de novo approvals, and other counterparty onboarding activities. Serving as a central coordination point, you will partner with cross-functional stakeholders to assess operational readiness, mitigate risks, and ensure timely execution of critical milestones.

You will also contribute to initiatives that enhance risk analytics, reporting, and documentation, including leveraging emerging technologies and AI-enabled solutions to improve efficiency and decision-making.

You’ll collaborate with leaders across Multifamily, Enterprise Risk Management, Technology, Legal, Compliance, and Operations to solve complex challenges, support strategic onboarding initiatives, and enhance counterparty risk management. This role offers the opportunity to influence key decisions, contribute to innovative risk and technology initiatives, and deliver insights to senior leadership and regulatory stakeholders.

Key Responsibilities

Counterparty Risk Assessments

  • Conduct operational and compliance risk assessments of DUS® lenders and servicers.
  • Evaluate governance, cybersecurity, technology and data controls, fraud risk management, and third-party risk programs.
  • Assess adherence to the DUS Guide, program requirements, and regulatory expectations.
  • Perform due diligence for new counterparties, including lender onboarding, M&A transactions, and de novo approvals.
  • Develop clear, risk-based recommendations for senior leadership on counterparty risk profiles and mitigation strategies.

Risk Monitoring, Transaction Management & Governance

  • Serve as the central coordination point for lender onboarding transactions across business, technology, legal, compliance, and risk stakeholders.
  • Manage project plans, timelines, deliverables, dependencies, and issue resolution across concurrent workstreams.
  • Coordinate and conduct subject matter expert reviews, including operational readiness, fraud, information security, technology/data, resiliency, and third-party assessments. Monitor lender performance using dashboards, KRIs, and analytics to identify emerging risks and trends.
  • Assess operational processes, governance, and controls; recommend mitigation strategies and track remediation through resolution.

Governance & Risk Framework

  • Contribute to the development and continuous enhancement of counterparty risk policies, compliance testing methodologies, governance processes, and operational risk controls.
  • Support Enterprise Risk Management initiatives by ensuring activities align with regulatory expectations and Fannie Mae governance standards.
  • Assist with enterprise and counterparty risk reviews, documenting conclusions that are clear, consistent, and well supported.
  • Support strategic initiatives that modernize risk analytics, reporting, documentation, and technology-enabled risk management capabilities.

Communication & Relationship Management

  • Detail-oriented self-starter who collaborates effectively across functions to drive coordinated risk oversight and lender onboarding.
  • Synthesize complex analyses from multiple stakeholders into concise, executive-ready recommendations.
  • Prepare briefings and presentations for senior management, governance committees, and FHFA.
  • Communicate complex risks clearly to internal stakeholders and external counterparties while fostering a strong risk culture.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experience

  • Bachelor’s degree in Finance, Business Administration, Accounting, Risk Management, Economics, or related field (or equivalent experience).
  • 4+ years of experience in operational risk, compliance, enterprise risk management, audit, or financial services.
  • Experience leading operational or compliance reviews and developing well-supported risk recommendations.
  • Experience managing complex, cross-functional initiatives with competing priorities and governance requirements.
  • Knowledge of multifamily lending, commercial real estate finance, or mortgage servicing preferred.
  • Demonstrated ability to synthesize complex information and communicate insights to senior leadership.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Skills

  • Strong operational and compliance risk analysis experience (e.g., governance, cybersecurity, technology/data, fraud, and third-party risk).
  • Proven project management skills, including coordinating cross-functional initiatives, managing timelines, and resolving roadblocks.
  • Strong business acumen with the ability to synthesize complex information into clear, actionable insights.
  • Excellent written and verbal communication skills; able to present complex ideas clearly and develop executive-ready materials, incorporating input from multiple stakeholders into cohesive recommendations.
  • Experience collaborating effectively across Technology, Risk, Compliance, Legal, Operations, and other business partners.
  • Proficiency with data analytics and visualization tools (e.g., Power BI, Tableau, SQL, Python, Alteryx).
  • Experience leveraging AI-enabled tools and emerging technologies to enhance research, reporting, and analytical workflows.
  • Strong analytical, problem-solving, and systems thinking skills, with sound judgment and ability to operate in a fast-paced environment.
  • Relevant certifications (e.g., FRM, PMP, CIA, CRCM) are a plus.

#LI - TW1 - Hybrid

Qualifications

Education:

Bachelor's Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.


Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

123000

to

161000