Senior Fraud Data Specialist

About
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. You identify patterns, trends, and anomalies in transactional, behavioural, and underwriting data to signal fraudulent or suspicious activity or 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.

Temporary position for 12 months.

Responsibilities

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 assess 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.

Salary range: $84,006 to $123,210 per year (Toronto suburbs).

4 weeks of flexible vacation starting in the first year.

Defined benefit pension plan providing predictable, stable income throughout retirement.

Group insurance including telemedicine.

Reimbursement of health and wellness expenses and telework equipment.

Benefits apply based on eligibility criteria.

What You Bring to the Table

Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Management Analytics.

Minimum of seven years of relevant experience in advanced analytics and/or underwriting.

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 in English, both oral and written.

Advanced knowledge of SAS, datasets, coding applications, Power

BI, and analysis tools.

Advanced proficiency with MS Excel, Outlook, Teams, PowerPoint, and 365 suite.

Intermediate knowledge of the P&C Insurance industry, familiar with Direct and Agent‑facing sales, Commercial, Life and Financial Services.

Operational knowledge of Agent‑facing tools, systems, and processes.

Key Skills

Action oriented.

Effective communicator.

Customer focus.

Adaptability to differences.

Innovation mindset.

Interpersonal savviness.

Nimble learning.

Strategic thinking.

Inclusivity & Equal Opportunity
At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. We have zero tolerance for discrimination of any kind. If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know.

We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family
Data (FG)

Unposting Date

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