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Ai Risk Analyst Jobs in Silver Spring, MD (NOW HIRING)

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai risk analyst in Silver Spring, MD is $41.85, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $50.96 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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

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 understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What cities near Silver Spring, MD are hiring for Ai Risk Analyst jobs?

Cities near Silver Spring, MD with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $87,054 per year, or $41.9 per hour.

Lead Enterprise Fraud Risk Analyst - 90411601 - Washington

Amtrak

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Amtrak rating

8.1

Company rating: 8.1 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

40th of 100 rated public transport


Job description

Your success is a train ride away!
As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees.
Are you ready to join our team?
Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.
This position can be based out of Washington DC, Wilmington, DE, Philadelphia, PA, Chicago, Boston, or New York City.
JOB SUMMARY:
The Lead Enterprise Fraud Risk Analyst is responsible for executing advanced data analytics to identify, analyze, and mitigate internal and external fraud risks. This role will conduct investigative analyses, generate insights on emerging fraud patterns, and partner with cross-functional teams to improve fraud detection, prevention, and reporting. This role will also execute fraud incident management activities and assist with development and documentation of incident management processes to mature Amtrak's fraud risk management program. The Analyst is a member of the Fraud Risk Management Team and is expected to lead preliminary investigations which may be referred to other investigative teams.
This position supports Amtrak's Enterprise Fraud Risk Management Program and is responsible for identifying, analyzing, and investigating a broad range of fraud risks across the organization, including procurement fraud, financial statement fraud, bribery and corruption, payment card fraud, and other internal and external fraud schemes. The ideal candidate brings broad fraud analytics and investigative experience across multiple fraud domains, rather than expertise in a single specialty such as AML, financial crimes, or cybersecurity.
ESSENTIAL FUNCTIONS:
  • Extract, aggregate, normalize, and analyze data from multiple internal and external sources to support fraud monitoring and investigations. Transform unstructured data using AI/ML techniques to create structured, analysis ready datasets.
  • Develop a strong understanding of systems, data structures, and business processes through documentation review and collaboration with data owners and operational teams.
  • Analyze suspicious transactions, behavioral patterns, and anomalies to identify potential fraud risks and emerging schemes.
  • Test fraud related controls using data analysis to assess compliance with applicable laws, regulations, and internal policies
  • Identify opportunities to enhance detective analytics and preventative fraud rules.
  • Develop and deliver visualizations and reports that communicate fraud trends, risks, and key performance indicators to senior leadership.
  • Conduct investigative research to validate suspicious activity identified by business units or external partners.
  • Support implementation and execution of fraud case management cycle processes, and develop complete investigative case packages and written intelligence products such as investigative memoranda.
  • Contribute to the development and maintenance of SOPs, monitoring procedures, case management workflows, and continuous improvement of detection methodologies.
  • Perform ad hoc statistical, investigative, and operational analytics to support fraud investigations.
  • Conduct investigative research to validate suspicious activity identified by business units or external partners.
  • Translate analytical findings into actionable recommendations and ensure analytical processes are documented, repeatable, auditable, and aligned with quality standards

MINIMUM QUALIFICATIONS:
  • Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience.
  • Minimum 3 years of hands-on experience in an advanced analytical role using Data Science or Machine Learning.

PREFERRED QUALIFICATIONS:
  • Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 8 years of relevant work experience.
  • Degree in Computer Science, Mathematics, Finance, or a related field.
  • Practical, hands-on experience applying AI/ML techniques

KNOWLEDGE, SKILLS and ABILITIES:
  • Advanced proficiency in SQL and demonstrated ability to work with large complex datasets.
  • Strong analytical and problem-solving skills, with the ability to relate multiple datasets from complex business processes, simplify and transform them into meaningful features, ready to be consumed in predictive models.
  • Demonstrated experience in data visualization tools such as Tableau, Power BI, or similar.
  • Fraud expertise, including knowledge of common fraud schemes, risk indicators, control weaknesses, and industry best practices for detection and prevention.
  • Previous experience investigating large, complex datasets, with the ability to identify anomalies, connect disparate data points, perform root-cause analysis, and develop actionable insights.
  • Excellent oral and written communication skills, with the ability to translate complex technical concepts for end-users while engaging deeply with technical investigative teams.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Preferred Proficiency in Python or R for data manipulation, modeling, and automation.
  • Preferred Previous experience with Payment Card Fraud schemes and detection methods.
  • Preferred Familiarity with calculating and communicating metrics for management reporting.
  • Preferred Familiarity with risk management frameworks.

The salary/hourly range is $94,300.00 - $122,256.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position.
Health and WellbeingFinancial and RetirementWork and Family Life SupportHealth, Dental, and Vision Insurance401K with Employer MatchGenerous Paid Time Off Wellness ProgramsRailroad Retirement BenefitsPaid Caregiving Days and Backup CareHealth Savings AccountPublic Service Student Loan ForgivenessFertility and Family Building BenefitsNo-cost Personal Health AdvocateStudent Loan AssistanceAdoption and Surrogacy AssistanceMedical Plan Opt-out CreditTuition and Education ReimbursementPaid Family Leave Life InsuranceRail Pass Privileges Short- and Long-term Disability InsuranceEmployee Assistance Program No-cost Financial Advisor SessionsCommuter and Flexible Spending Accounts
Learn more about our benefits offerings here.
Requisition ID:166765
Work Arrangement:06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak.
Relocation Offered:No
Travel Requirements:Up to 25%
You power our progress through your performance.
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions.
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law.
In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions.
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses.
Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience.
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.

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About Amtrak

Sourced by ZipRecruiter

As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees.

Industry

Travel arrangement services

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1971