Research Senior Investigative Analyst (Fraud & Data ...

About FedSync:Since our inception, FedSync has been driven by the core values of Accountability, Integrity, Teamwork, Value, Innovation, and Quality. These values define who we are. Our vision is to partner with the brightest, most forward-thinking individuals to deliver solutions that anticipate the needs of tomorrow. Our mission is to provide the federal government with innovative and proven solutions, equipping them with the tools and talent necessary to meet future challenges. At FedSync, people matter - both to us and to our clients. Position Overview:FedSync is seeking a Research Senior Investigative Analyst (Fraud & Data Analytics) to support the Federal Motor Carrier Safety Administration (FMCSA) in identifying, analyzing, and mitigating fraud risks associated with FMCSA registration activities. The analyst will provide advanced analytical and investigative support to detect suspicious registrant behavior, identity misuse, synthetic entities, and coordinated fraud patterns across registration applications.This position integrates data analytics, anomaly detection, investigative research, and intelligence reporting to produce actionable insights that support program integrity and operational decision-making.The role directly supports FMCSA's registration ecosystem, including the Unified Registration System (URS) and the Motus: USDOT Registration System modernization initiative, which focuses on enhanced lifecycle management tools and improved fraud prevention capabilities. The analyst will also contribute to mitigating known fraud risks within the motor carrier industry, including carrier and broker identity theft and misuse of USDOT numbers. Key Responsibilities:Fraud Analytics and Detection Aggregate, normalize, and analyze data from multiple internal and external sources including registration records, identity verification artifacts, account and contact metadata, transaction logs, business registries, open-source intelligence, and authorized enforcement datasets. Develop and maintain fraud indicators and risk scoring models using rule-based and statistical methodologies. Implement anomaly detection techniques to identify suspicious patterns such as: High application velocity or submission spikes Duplicate or synthetic entity creation Network linkages across applicants Reuse of devices, phone numbers, or email addresses Address clustering and suspicious geographic patterns Unauthorized or suspicious operating authority changes. Conduct trend analysis to identify emerging fraud schemes and recommend improvements to fraud detection logic and program integrity controls. Investigative Research and Case Support Conduct investigative research to validate flagged entities and suspicious activity. Develop investigative case packages including entity profiles, timelines, supporting documentation, and link analysis. Produce written intelligence products including investigative memoranda, fraud trend reports, dashboards, and executive briefings. Collaborate with government leads, analysts, and regulatory or enforcement stakeholders to refine analytical findings and improve fraud detection strategies. Operational Decision Support Translate analytical findings into actionable recommendations to improve program integrity, fraud mitigation strategies, and operational workflows. Support initiatives aligned with FMCSA registration lifecycle modernization efforts and fraud prevention objectives. Data Governance and Quality Assurance Ensure analytical processes are repeatable, auditable, and well-documented, including documentation of data sources, methodologies, assumptions, and confidence levels. Contribute to development and maintenance of Standard Operating Procedures (SOPs) related to fraud indicator tuning, quality assurance checks, false-positive monitoring, and continuous improvement of detection methodologies. DeliverablesThe Research Senior Investigative Analyst will support the program through development of the following analytical products and program outputs: Fraud Indicator Library documenting indicator definitions, thresholds, rationale, and tuning history. Risk Scoring Model Documentation including methodology, validation processes, and performance metrics. Investigative Case Packages containing entity profiles, investigative timelines, link analysis charts, and supporting evidence. Dashboards and Scorecards tracking fraud indicators, investigation volumes, trends, and cycle times. Executive Intelligence Briefings including leadership summaries, fraud trend analyses, and periodic threat notes. Program Integrity Recommendations supporting enhancements to fraud detection and prevention aligned with FMCSA registration modernization initiatives. Qualifications:Education Bachelor's degree in Data Analytics, Statistics, Computer Science, Criminal Justice, Cybersecurity, Finance, Economics, Public Policy, or a related field.  Experience 5 to 7 years of professional experience in fraud analytics, investigative analysis, intelligence analysis, compliance, program integrity, or a related analytical discipline. Demonstrated experience in: Developing fraud indicators and anomaly detection methodologies. Supporting investigations through evidence-based analytical narratives. Producing executive-level reports, analytical briefings, and dashboards. Working with complex, multi-source datasets and documenting analytical methodologies. Preferred Qualifications Master's degree in Data Science, Analytics, Criminal Justice, Cybersecurity, or Public Policy. Experience supporting federal regulatory programs, transportation systems, or identity verification environments. Familiarity with registration systems, licensing programs, or program integrity monitoring. Experience developing fraud detection dashboards and visual analytics tools. Preferred CertificationsOne or more of the following certifications is preferred: Certified Fraud Examiner (CFE) Certified Anti-Money Laundering Specialist (CAMS) Microsoft Power BI Certification Google Data Analytics Certification Other relevant data analytics or federal investigative analysis training. FedSync is an Equal Opportunity Employer:We do not discriminate based on race, color, religion, sex, gender, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.Acceptable background check including criminal history background check and credit Check.

Created: 2026-03-06