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Manager, Fraud Risk

Job in Toronto, Ontario, C6A, Canada
Listing for: Haventree Bank
Full Time position
Listed on 2026-09-12
Job specializations:
  • Finance & Banking
    Banking & Finance, Financial Compliance
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CAD Yearly CAD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Haventree Bank is a Schedule I Canadian bank dedicated to advancing financial security and upward mobility for Canadians underserved by traditional financial services. Through our broker-distributed alternative mortgage and GIC solutions, as well as our growing digital banking platform, we provide straightforward products that support long-term financial well-being and meaningful growth.

As a CDIC-insured, federally regulated bank, we offer the trust and stability of a traditional financial institution while embracing the innovation and customer-first mindset of a modern digital bank.

If you're looking for a place where your work has a direct impact, your ideas are valued, and innovation is encouraged, Haventree Bank is the place for you.

Position Summary

Reporting to the Director of Fraud Management, the Manager, Fraud Risk will play a key role in building and shaping daily operations while developing fraud risk strategies for a range of new products. This role is responsible for using data analytics to identify fraud trends, designing scalable controls, and collaborating across teams to balance effective fraud prevention with a strong customer experience.

The position requires a data-driven, solution-oriented mindset and the ability to thrive in a dynamic environment. The ideal candidate is inquisitive, proactive, and motivated to build fraud prevention capabilities from the ground up.

Major

Duties & Responsibilities
  • Assist in designing and implementing fraud prevention frameworks, policies and controls tailored to a suite of new products of the digital bank
  • Support the design, enhancement, and ongoing maintenance of fraud detection tools, reporting frameworks, and real-time monitoring capabilities to identify suspicious activity
  • Analyze large datasets to detect early fraud trends, identify anomalies, and recommend countermeasures
  • Use SQL, Python, and visualization tools (e.g., Tableau) to build dashboards that track key fraud metrics and emerging trends
  • Support the testing and refinement of machine learning-driven fraud models
  • Develop and deliver fraud trend reports to leadership, highlighting high-risk areas, fraud attack vectors and recommendations
  • Implement A/B testing for fraud strategies to measure their impact on fraud reduction and false positives
  • Collaborate with product managers and engineers to strengthen fraud prevention tools and integrate risk signals across the customer journey
  • Partner with Operations to build fraud-related processes and establish policies
  • Support fraud risk assessments, forecasting fraud losses, and preparing materials for key stakeholders
  • Identify and implement automation opportunities to improve fraud detection efficiency and reduce manual review workload
  • Oversee end-to-end card lifecycle processes, including card issuance, usage monitoring, and ensuring a seamless and secure customer experience
  • Establish, manage and optimize chargeback processes by identifying trends, improving dispute handling, and enhancing overall customer and operational outcomes
  • Work with vendors and internal teams to optimize usage of tools and technology
  • Act as a key point of contact for internal teams, addressing inquiries related to fraud losses, trends, and insights.
  • Serve as a mentor and coach to team members by providing timely, continuous feedback to support the achievement of both development and operational objectives
Qualifications & Experience Degrees, Diplomas &

Certifications:
  • A university degree in a related field, such as Business, Engineering, Data Science, or equivalent
Years and Range of Experience Required to Perform the Job:
  • The position requires 5+ years of experience in fraud operations, financial crime, or risk management within the financial services industry
  • Demonstrate a strong understanding of fraud vectors, tactics, and emerging trends across a broad range of financial products and services.
  • Proven experience working with card programs and payment ecosystems, with a strong understanding of fraud risks and controls
  • Experience working fraud detection tools, SQL, Python, Tableau for visualizations and analytics
  • Familiarity with fraud risk management – ideally at a startup or high growth-environment
  • Strong communication skills, with the ability to translate data insights into actionable business recommendations
  • Demonstrate a self-driven, energetic, and results-oriented approach, with a strong commitment to delivering value to the organization
  • Experience with KYC processes and AML/ATF requirements would be an…
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