Description

Key Responsibilities

• 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.

Qualifications

• 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)

Key Skills

Education

Bachelor's degree