Data Analytics Leader

3 days ago

Toronto, Ontario, Canada Scotiabank Full time

Estimated Salary: $110,000 - $140,000 per annum

About Scotiabank

Scotiabank is a leading bank in the Americas, guided by its purpose to create a better future for its customers and their communities.

Job Description

This role contributes to the overall success of the Fraud Management Group in Canada, 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 ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

The successful candidate will be responsible for applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio. This includes Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages, and Global Payments.

Main Responsibilities:

  • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
  • Develop, execute, and monitor 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 partnerships with Fraud Operations to identify opportunities for improvement, focusing 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 various 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.

Required Skills and Qualifications:

  • 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 committed to adding value to the organization.

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