Business Insights Specialist (Financial Crimes)

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Job Summary   The Business Insights Specialist, Insider Fraud Detection & Analytics, is responsible for supporting the development and enhancement of insider fraud detection strategies through advanced analytics, business intelligence, and fraud risk identification. This role partners with Fraud, Investigations, Compliance, Risk, and Technology teams to identify emerging insider threats, monitor employee activity for unusual patterns, and drive data-informed decision-making.   The successful candidate will leverage fraud expertise, strong analytical thinking, and advanced coding skills in Python and SQL to develop actionable insights, support detection rule development, and enhance the effectiveness of insider fraud monitoring programs.   While direct Insider Fraud experience is preferred, candidates with experience in First-Party Fraud, Third-Party Fraud, Financial Crimes, AML, Investigations, or Risk Analytics are strongly encouraged to apply.     Key Accountabilities   Fraud Analytics & Detection Insights   Analyze large, complex datasets to identify suspicious employee activity, fraud trends, and emerging insider risks.   Support the development and optimization of fraud detection scenarios through data-driven analysis.   Conduct trend, behavioral, and risk-based analyses to identify potential indicators of insider misconduct.   Perform root cause analysis on fraud events and detection gaps.   Recommend enhancements to existing monitoring and detection strategies.     Business Intelligence   Translate complex analytical findings into meaningful business insights for senior leadership and operational partners.   Produce recurring and ad hoc reporting on fraud trends, detection performance, and key risk indicators.   Monitor and evaluate detection rule performance, false positive rates, and alert volumes.     Data Analytics & Automation   Develop advanced SQL queries to extract, transform, and analyze data from multiple enterprise data sources.   Utilize Python to automate analytics processes, perform statistical analyses, and develop scalable monitoring solutions.   Support data validation, quality assurance, and analytical model development.   Create repeatable processes and automated solutions to improve operational efficiency.     Stakeholder Partnership   Collaborate closely with Fraud Strategy, Investigations, Compliance, Risk Management, Technology, and Data Engineering teams.   Gather business requirements and translate them into analytical solutions.   Present findings, recommendations, and key insights to stakeholders at various levels of the organization.   Support strategic fraud initiatives and ongoing enhancement activities.

Fraud & Risk Experience   7+ years of experience in Fraud Management, Fraud Analytics, Financial Crimes, AML, Investigations, Risk Analytics, or a related field.   Experience identifying fraud trends and developing data-driven recommendations.   Strong understanding of fraud typologies, fraud controls, and investigative processes.     Technical Skills