About The Position

Serco, a solutions company headquartered in Herndon, VA is seeking a highly skilled (10-12 years of experience) Document Fraud Detection Subject Matter Expert to join our team. This role is ideal for a collaborative professional who combines deep expertise in identifying and understanding document fraud with knowledge of industry trends and the latest detection tools and technologies. The SME will bring strategic insight into how fraud detection innovations will shape the future of identity verification, compliance, and digital trust. In this role, the SME will lead initiatives to identify, analyze, and mitigate document fraud across a wide range of identity documents (e.g., passports, driver's licenses, birth certificates) and other critical documents. The ideal candidate will understand how documents are altered, the markers and indicators of fraudulent documents, and emerging fraud patterns and techniques. They will also provide guidance on the best tools and solutions available in the marketplace to combat these threats. This position will play a key role in supporting eligibility processing for individuals seeking access to the Federal Healthcare Insurance Marketplace under the Centers for Medicare and Medicaid Services (CMS), ensuring integrity and trust in the verification process.

Requirements

  • Bachelor's degree in Computer Science, Forensics, Cybersecurity, or related field
  • 10-12 years of relevant experience
  • Proven experience in document fraud detection, forensic document examination, or identity verification technologies
  • Familiarity with fraud detection software platforms and AI/ML-based document analysis tools
  • Demonstrated experience applying advanced techniques to assess document integrity, verify identity attributes, and detect inconsistencies or irregularities across diverse document types
  • Experience working with government-trusted sources of identity data and official document standards, including collaboration with federal or state agencies
  • Experience working in regulated industries (e.g., healthcare, government, finance)
  • Excellent communication skills with the ability to translate technical concepts into strategic insights
  • Ability to travel up to 10% of the time

Nice To Haves

  • Master's degree in Computer Science, Forensics, Cybersecurity, or related field
  • Certifications in fraud examination, digital forensics, or identity verification is a plus
  • AWS cloud experience

Responsibilities

  • Serve as the primary expert on document fraud detection, including physical and digital document analysis
  • Evaluate and recommend fraud detection software tools based on use case requirements
  • Lead the development of strategies for detecting altered, forged, or counterfeit documents
  • Collaborate with solution architects, software development, operations, security and product teams to integrate fraud detection capabilities into enterprise systems
  • Contribute to the design of scalable, secure, and automated fraud detection workflows within cloud environments (preferably AWS)
  • Support training and knowledge-sharing initiatives across teams

Benefits

  • Medical, dental, and vision insurance
  • Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract
  • 401(k) plan that includes employer matching funds
  • Tuition reimbursement program
  • Life insurance and disability coverage
  • Optional coverages you can buy, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
  • Birth, adoption, parental leave benefits
  • Employee Assistance Plan that includes counseling conditions
  • Specific benefits are dependent upon the specific contract as well as whether the position is covered by a collective bargaining agreement or the Service Contract Act.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Administrative and Support Services

Number of Employees

5,001-10,000 employees

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