Lead Data Analyst (Fraud Investigations & Data Discovery)

Randstad is seeking a Lead Data Analyst to join the Enterprise Fraud Risk Management team for a major transit and infrastructure client based in Washington this fully remote role you will act as a foundational member of a rapidly growing program utilizing exploratory analytics and data discovery to hunt for anomalous patterns across more than 180 identified fraud risks-including procurement cyber and financial statement fraud. This is an ideal opportunity for a proactive data professional who thrives in a highly dynamic unstructured environment enjoys building data discovery processes from scratch and wants to directly influence how the enterprise identifies and hands off potential fraud vectors for formal investigation.

• Perform deep-dive exploratory analytics and data discovery to identify anomalies trends and potential indicators of internal and external fraud.
• Partner closely with Digital Technology (DT) and Governance Risk and Compliance (GRC) teams to design and implement technological fraud solutions.
• Build define and refine unstructured data processes to establish clean workflows and robust documentation for potential fraud handoffs.
• Actively provide feedback and strategic recommendations on analytical paths adapting strategies fluidly when data models or discovery directions need pivot.
• Collaborate with stakeholders across procurement cyber and finance to map data structures to enterprise-wide fraud risks.

• Proven mid-to-senior level experience in data analytics data discovery and advanced data mining.
• Strong experience working with fraud analytics anomaly detection or forensic data analysis (e.g. procurement fraud cyber fraud or financial statement analysis).
• Demonstrated ability to work independently and maintain high performance in an ambiguous greenfield program environment.
• Excellent communication skills with the confidence to propose new methodologies and voice feedback to leadership.
• Prior experience in the construction industry or large-scale asset-intensive sectors is highly preferred (though broad industry experience is welcome).

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No