Senior Fraud Analytics Specialist

3 weeks ago


Toronto, Ontario, Canada Scotiabank Full time

Requisition ID: 208352

At Scotiabank, we're seeking a skilled Fraud Analytics Specialist to contribute to the overall success of the Fraud Management Group in Canada. This role is responsible for ensuring specific individual goals, plans, and initiatives are executed and delivered in support of the team's business strategies and objectives. The ideal candidate will have a strong background in statistical analysis, preferably related to Fraud Analytics or Risk Management, and experience with PRM or similar fraud platforms.

The Role

This position will champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge. The successful candidate will develop, execute, and monitor fraud strategies for customer onboarding and product applications, become an SME of Application Fraud platforms, and report regularly on the performance of existing fraud strategies deployed in Canadian Banking.

Key Responsibilities

  • Develop and execute fraud strategies for customer onboarding and product applications
  • Become an SME of Application Fraud platforms such as Citadel, ThreatMetrix, Emailage, EnStream, PRM, etc.
  • Report regularly on the performance of existing fraud strategies deployed in Canadian Banking
  • Identify improvements of existing fraud strategies, procedures, and policies
  • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
  • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment
  • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
  • 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
  • Lead/participate in the identification, development, and implementation of new initiatives
  • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
  • Participate in discussions with IT partners and vendors on requirements and solution design
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions

Requirements

  • A University degree in statistics, mathematics, or computer science
  • 3-5 years analytical experience preferred, including statistical analysis, ideally related to Fraud Analytics or Risk Management
  • Strong coding, organizing, and manipulating large amounts of data (SAS, R, Python)
  • Experience with PRM or similar fraud platform strongly desired
  • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
  • Strong communication skills essential with clients, vendors, and management
  • Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization


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