Fraud Analytics Manager

7 days ago

Toronto, Ontario, Canada Scotiabank Full time
About the Role

Scotiabank is seeking a highly skilled Fraud Analytics Manager to join our team in Canada. As a key member of our Fraud Management Group, you will play a critical role in ensuring the overall success of our fraud mitigation strategies.

Key Responsibilities
  • Contribute to Fraud Strategy Development: Collaborate with cross-functional teams to design and implement advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio.
  • Lead Fraud Analytics and Risk Management: Develop, execute, and monitor fraud strategies for customer onboarding and product applications, ensuring compliance with governing regulations and internal policies.
  • Expertise in Fraud Platforms: Become an SME of Application Fraud platforms such as Citadel, ThreatMetrix, Emailage, EnStream, PRM, etc.
  • Performance Reporting and Analysis: Regularly report on the performance of existing fraud strategies deployed in Canadian Banking and identify areas for improvement.
  • Strong Partnership and Communication: Drive strong partnership with Fraud Operations to identify opportunities for improvement, focusing on risk/return while ensuring alignment.
  • Fraud Risk Identification and Escalation: Identify and escalate fraud risks that are or will become in excess of the Risk Appetite.
  • Data-Driven Decision Making: Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs.
  • Leadership and Collaboration: Lead/participate in the identification, development, and implementation of new initiatives and contribute to various projects and initiatives across the Fraud Management Group.
  • Operational Risk Management: Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions, actively pursuing effective and efficient operations.
Requirements
  • University Degree: A University degree in statistics, mathematics, or computer science.
  • Analytical Experience: 3-5 years of analytical experience, preferably in statistical analysis, related to Fraud Analytics or Risk Management.
  • Coding and Data Manipulation: Strong coding, organizing, and manipulating large amounts of data (SAS, R, Python).
  • PRM or Similar Fraud Platform Experience: Experience with PRM or similar fraud platform strongly desired.
  • Strong Skills: Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills.
  • Communication: Strong communication skills essential with clients, vendors, and management.
  • Self-Motivation and Results-Oriented: Must be self-motivated, energetic, and results-oriented, committed to adding value to the organization.

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