Brief Description

Position: Senior Investigative Analyst

Location: Remote, with occasional site visits to PRAC locations as required

Work Environment: Remote, with occasional site visits to PRAC locations as required

Clearance Required: Public Trust (HSPD-12)

Status: Full-time, Key Personnel

Salary Range: $160,000 - $185,000 annually

The Senior Investigative Analyst provides vital investigative support services to the Pandemic Response Accountability Committee (PRAC) Analytics Center. This position utilizes open-source, law enforcement, and third-party data to support lead generation and build cases involving covered funds and pandemic relief programs. Working closely with partner Offices of Inspectors General (OIGs) and federal law enforcement, the Analyst uses advanced analytical tools, such as Neo4j and link analysis platforms, to analyze complex networks, visualize relationships across multiple data sources, and develop customized intelligence reports to combat fraud, waste, abuse, and mismanagement.

The Job Duties and Responsibilities include but are not limited to the following:

Conduct investigative support services using open-source, law enforcement, and third-party data to support lead generation and build out cases involving covered funds
Collaborate closely with partner OIGs and law enforcement stakeholders on investigative requests and case building
Develop customized work products (e.g., intelligence reports, detailed lead packages, link analysis diagrams) to document technical and complex findings in easy-to-understand formats
Utilize graph analytic tools, such as Neo4j, to analyze complex networks and develop link analysis charts that visualize relationships among entities across multiple data sources
Test and validate the results of PRAC-developed analytic rules and models through thorough due diligence and investigative analysis
Provide active investigative analysis and lead generation efforts while adhering to PRAC's investigative support workflows and templates
Deliver presentations and demonstrations of investigative findings to OIG and law enforcement stakeholders
Handle law enforcement sensitive data in strict accordance with CIGIE/PRAC policies and procedures

Required Qualifications

Minimum of three (3) years of professional experience conducting investigative analysis supporting government benefit fraud and financial crimes
Minimum of three (3) years' experience analyzing structured and unstructured data from public and non-public data sources to identify fraud indicators and patterns
Strong working knowledge of fraud typologies relevant to government benefit programs (e.g., identity fraud, eligibility fraud, organized fraud rings)
Proficiency with a variety of analytic tools to include SQL, Excel, Neo4j, i2 Analyst's Notebook, or comparable link analysis platforms
Minimum of three (3) years of hands-on experience preparing investigative reports, referral packages, and case summaries suitable for referral to law enforcement
Demonstrated familiarity with investigative data sources, tools, and experience supporting large-scale federal benefit programs (e.g., PPP, EIDL, RRF, SVOG)
Excellent written and verbal communication skills, including the ability to brief complex findings to senior government stakeholders

Preferred Qualifications

Experience supporting pandemic relief or OBBBA-related fraud cases
Advanced certifications in fraud examination or investigative analysis (e.g., CFE)
Experience working directly with federal Offices of Inspectors General (OIGs)

Benefits

Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

Knowesis Inc.

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