Manager, Fraud Risk

Haventree Bank

• $90K — $110K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • University degree in Business, Engineering, Data Science, or related field
  • 5+ years in fraud operations, financial crime, or risk management in financial services
  • Strong understanding of fraud vectors and emerging trends
  • Experience with card programs and payment ecosystems
  • Proficient in SQL, Python, and Tableau for analytics and visualization
  • Strong communication skills to translate data insights into actionable recommendations
  • Familiarity with KYC processes and AML/ATF requirements is a plus

Responsibilities

  • Design and implement fraud prevention frameworks and controls for new digital bank products
  • Enhance and maintain fraud detection tools and real-time monitoring capabilities
  • Analyze large datasets to identify fraud trends and recommend countermeasures
  • Build dashboards using SQL, Python, and visualization tools to track fraud metrics
  • Support testing and refinement of machine learning-driven fraud models
  • Deliver fraud trend reports to leadership with insights and recommendations
  • Collaborate with product managers and engineers to strengthen fraud prevention tools

Benefits

  • Hybrid work environment
  • Opportunities for professional development and mentorship
  • Access to advanced fraud detection tools and technologies
  • Collaborative team culture focused on innovation
  • Engagement with leadership on strategic fraud initiatives
Full Job Description
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 asset.
  • The position requires strong written and verbal communication skills and exceptional organization and time management skills.


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