This temporary 12-month role offers the opportunity to make a meaningful impact in data and risk management. As a Senior Fraud Data Specialist, you will transform large, complex datasets into actionable intelligence that strengthens fraud detection, underwriting, and strategic decision-making across the organization. Your role is to identify patterns, trends, and anomalies in transactional, behavioural, and underwriting data that may signal fraudulent or suspicious activity or indicate adverse risk selection. You will translate these insights into scalable analytical solutions and early risk indicators that can be operationalized by business, underwriting, and operational teams. You will provide leadership in identifying, prioritizing, and delivering advanced fraud analytics initiatives within large-scale, high-impact programs. With deep expertise in data mining, statistical analysis, fraud methodologies, and underwriting principles, you will act as a strategic advisor to business and data teams—supporting stakeholders in understanding fraud risks, emerging trends, and analytical findings, while guiding the integration of detection and monitoring solutions into day-to-day operations and decision frameworks. Your work requires extensive, in-depth knowledge of advanced analytics, fraud typologies, underwriting dynamics, and complex data environments. You will make expert recommendations on the planning and execution of operationally and conceptually complex initiatives that influence business strategy, risk management, and control frameworks. As a recognized subject matter expert, you will coach and support decision-making bodies, collaborating closely with partners such as underwriting, claims, compliance, and IT to strengthen fraud prevention and proactively manage exposure.
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Job Type
Full-time
Career Level
Senior