Senior Fraud Data Specialist

Temporary position for 12 months

Are you passionate about data and risk management? Do you have a keen eye for uncovering patterns and anomalies that others might miss? If so, this role offers the opportunity to make a meaningful impact. As a Senior Fraud Data Specialist, you 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 translate these insights into scalable analytical solutions and early risk indicators that can be operationalized by business, underwriting, and operational teams. You 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 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 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 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. More specifically, you will be responsible to:

* Analyze complex transactional, operational, behavioural, and underwriting data to identify patterns, anomalies, and indicators of adverse risk selection.

* Lead the design and development of advanced data mining, anomaly detection, and fraud analytics models, incorporating underwriting and early risk indicators.

* Translate analytical findings into clear, actionable insights and recommendations for business, underwriting, and operational teams.

* Identify, prioritize, and shape fraud and risk analytics initiatives aligned with business priorities, underwriting strategies, and regulatory requirements.

* Provide expert guidance to delivery teams throughout the design, development, and implementation of complex analytical solutions.

* Define and maintain key performance indicators to asses portfolio quality and emerging risk exposure.

* Monitor emerging fraud trends and underwriting behaviours, recommending proactive enhancements to analytics and controls.

* Act as a trusted advisor and subject matter expert, supporting stakeholders and decision making bodies through insight, expertise, and coaching.

What we offer
* * Competitive salary and annual bonus

* 4 weeks of flexible vacation starting in the first year

* Defined benefit pension plan that provides predictable, stable income throughout retirement

* Group insurance including telemedicine

* Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid, #ON10
* What you bring to the table

* Bachelor's degree in a related fields including:
Statistics, Mathematics, Computer Science, Management Analytics

* A minimum of seven years of relevant experience in advanced analytics and/ or Underwriting

* Please note that other combinations of qualifications and relevant experience may be considered

* Experience collaborating with Underwriting, Actuarial, Business Intelligence, and Business Architects on complex and sensitive matters

* Experience supporting Senior Leadership and Executive members of the organization

* Advanced proficiency of English, both oral and written due to the nature of the duties or work tools or because the position involves interactions with English-speaking…