Lead Fraud Analytics & Risk Analyst Remote

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  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.

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 hands‑on experience using SQL and advanced analytics to identify anomalies and potential fraud within complex enterprise data, including financial, procurement, vendor, contract, procure-to-pay (P2P), or capital-spend data. 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.

• 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 across financial, procurement, vendor, contract, procure-to-pay, and capital-spend data 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…