Senior Investigative Analyst – Federal Benefit Fraud & Financial Crimes

Apply Description The Senior Investigative Analyst will support PRAC’s Advanced Analytic & Investigative Support Services program by conducting investigative analysis, fraud pattern identification, lead development, link analysis, and case support for matters involving government benefit fraud, financial crimes, and misuse of covered federal funds. This role will work closely with PRAC stakeholders, Offices of Inspector General, federal law enforcement partners, data scientists, graph data scientists, forensic accountants, and data engineers to identify suspicious activity, develop investigative leads, prepare referral packages, and produce clear, defensible investigative work products. The ideal candidate has experience analyzing structured and unstructured data, identifying fraud typologies, developing investigative reports, using analytic and link analysis tools, and briefing findings to senior government stakeholders. Key Responsibilities Investigative Analysis & Lead Development Conduct investigative analysis supporting fraud, waste, abuse, and mismanagement detection across large-scale federal benefit programs. Analyze suspicious activity involving government benefit fraud, financial crimes, identity fraud, eligibility fraud, organized fraud rings, and related schemes. Develop investigative leads using public, non-public, law enforcement, commercial, and third-party data sources. Review analytic model outputs and fraud detection results to validate potential leads and determine investigative relevance. Identify fraud indicators, behavioral patterns, entity relationships, and anomalies requiring further review. Structured & Unstructured Data Analysis Analyze structured datasets to identify fraud patterns, high-risk entities, suspicious transactions, and cross-program indicators. Analyze unstructured data, including documents, narratives, notes, reports, and other text-based sources, to identify investigative leads and relevant intelligence. Compare information across multiple data sources to identify inconsistencies, shared attributes, hidden relationships, and suspicious patterns. Support cross-program and cross-agency analysis involving federal benefit programs and covered funds. Fraud Typology & Risk Indicator Analysis Apply knowledge of government benefit fraud typologies to support investigative and analytic work. Identify indicators related to: Identity fraud Synthetic identity fraud Eligibility fraud Organized fraud rings Shell entities False statements Suspicious addresses, phone numbers, emails, IP addresses, or business relationships Cross-program or cross-agency fraud schemes Assist in developing, validating, and documenting fraud risk indicators for investigative and analytic use. Link Analysis & Graph-Based Investigation Support Use Neo4j, i2 Analyst’s Notebook, or comparable link analysis platforms to identify relationships among people, businesses, addresses, accounts, applications, transactions, and other entities. Develop link analysis charts, relationship diagrams, network visualizations, and entity maps. Work with graph data scientists to interpret graph analytics outputs and translate network patterns into investigative findings. Support identification of hidden relationships, organized networks, shared attributes, and non-obvious connections across datasets. Investigative Reporting & Referral Packages Prepare investigative reports, referral packages, case summaries, lead packages, and intelligence products suitable for review by federal oversight and law enforcement partners. Document investigative findings, methodologies, source data, assumptions, relationships, and supporting evidence. Translate complex data analysis and investigative findings into clear, concise, and actionable written products. Ensure work products are accurate, defensible, well-organized, and suitable for Government review. Stakeholder Briefings & Communication Brief findings to PRAC stakeholders, OIG partners, federal law enforcement personnel, and senior government officials. Present investigative findings clearly to both technical and non-technical audiences. Support meetings, case discussions, project reviews, and investigative briefings. Communicate risks, gaps, investigative opportunities, and recommended next steps. Collaboration with Analytics & Forensic Teams Work closely with data scientists, graph data scientists, data engineers, forensic accountants, and project leadership. Collaborate with forensic accountants to interpret financial records, transaction patterns, and money movement. Coordinate with data engineers to identify data gaps, improve source data usability, and support investigative requirements. Support analytics teams by providing investigative context, fraud typology expertise, and case-building perspective. Requirements Minimum three (3) years of professional experience conducting investigative analysis supporting government benefit fraud and financial crimes. Minimum three (3) years of experience analyzing structured data to identify fraud indicators and patterns. Minimum three (3) years of experience analyzing unstructured data to identify fraud indicators and patterns. Experience using both public and non-public data sources. Strong working knowledge of fraud typologies related to government benefit programs. Proficiency with SQL. Proficiency with Microsoft Excel. Proficiency with Neo4j. Proficiency with i2 Analyst’s Notebook or a comparable link analysis platform. Minimum three (3) years of hands-on experience preparing investigative reports. Minimum three (3) years of hands-on experience preparing referral packages suitable for law enforcement. Minimum three (3) years of hands-on experience preparing case summaries suitable for law enforcement. Excellent written and verbal communication skills. Experience briefing findings to senior government stakeholders. Preferred Qualifications Experience supporting PRAC, CIGIE, Offices of Inspector General, federal law enforcement, or federal oversight organizations. Experience supporting investigations involving federal benefit programs, pandemic relief programs, emergency relief funds, or similar large-scale government assistance programs. Experience with programs such as PPP, EIDL, RRF, SVOG, unemployment insurance, or comparable federal benefit programs. Experience supporting fraud analytics, anomaly detection, entity resolution, graph analytics, or investigative intelligence workflows. Experience developing lead packages, intelligence reports, link analysis diagrams, and visual case exhibits. Familiarity with commercial investigative databases and open-source intelligence tools. Experience working with law enforcement sensitive information and investigative workflows. Required Technical Skills Investigative analysis Fraud pattern detection Government benefit fraud analysis Financial crimes analysis Structured data analysis Unstructured data analysis SQL Microsoft Excel Neo4j i2 Analyst’s Notebook or comparable link analysis tools Public and non-public data source analysis Link analysis Investigative report writing Case summary preparation Law enforcement referral package development Senior stakeholder briefing Salary Description 80,000 - 120,000