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Title:  Fraud Analytics Manager - North York, ON




Requisition ID: 88178


Join the Global Community of Scotiabankers to help customers become better off.



As the Manager, Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.  You will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.


You will also proactively contribute to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Credit Cards, Unsecured Lending Products and Mortgages.



What You will do in this role:

  • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Develop, execute and monitor fraud strategies for unsecured and secured lending products, leveraging best in class analytics 
  • Report regularly on 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
  • Identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams
  • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite 
  • Leverage data mining tools (Python or 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.



What we're looking for:

  • A University degree  in statistics, mathematics or computer science
  • 3 years + analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
  • 3 + years in strong coding, organizing and manipulating large amounts of data. SQL and Python is required
  • Experience with PRM or similar fraud platform strongly desired, not required
  • Knowledge of payment industry (payment network, processing 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


This role is located at 90 Wynford Dr.



Location(s):  Canada : Ontario : North York 

As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.


At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.