Fraud Strategy Manager

3 weeks ago

Toronto, Ontario, Canada Scotiabank Full time

Position Overview:
Join a dynamic and purpose-driven team dedicated to achieving results within an inclusive and high-performing culture.

The Manager of Fraud Analytics plays a crucial role in the success of the Fraud Management Group in Canada. This position ensures that specific individual objectives, plans, and initiatives are executed effectively to support the overall business strategies and goals of the team. Compliance with all governing regulations, internal policies, and procedures is paramount.

Key Responsibilities:

  • Foster a customer-centric culture to enhance client relationships and leverage broader organizational knowledge.
  • Design, implement, and oversee fraud strategies for various channels including Payment Cards, Cheque Deposit, and Account Takeover.
  • Utilize advanced data mining tools (such as SAS, Python, R, Angoss) to develop fraud strategies aimed at minimizing losses while ensuring a positive customer experience.
  • Regularly report on the performance of existing fraud strategies within Canadian Banking.
  • Identify opportunities for enhancement in current fraud strategies, procedures, and policies.
  • Maintain performance reporting and collaborate with business partners to analyze trends impacting the business.
  • Build strong partnerships with Fraud Operations to pinpoint areas for improvement, focusing on risk/return alignment.
  • Recognize and escalate fraud risks that exceed the established Risk Appetite.
  • Lead or participate in the development and execution of new initiatives.
  • Contribute to various projects and initiatives across the Fraud Management Group.
  • Engage in discussions with IT partners and vendors regarding requirements and solution design.
  • Understand the Bank's risk appetite and culture, integrating these considerations into daily activities and decisions.
  • Strive for effective and efficient operations while ensuring adherence to operational risk, regulatory compliance, and conduct risk frameworks.

Qualifications:
We are looking for candidates who possess:

  • A University degree in statistics, mathematics, or computer science.
  • 1-3 years of analytical experience, preferably in Fraud Analytics or Risk Management.
  • Proficiency in coding and managing large datasets, particularly using Python.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Experience with fraud platforms like PRM is highly desirable.
  • Strong skills in prioritization, planning, analysis, presentation, project management, and relationship building.
  • Excellent communication skills for effective interaction with clients, vendors, and management.
  • A self-motivated, energetic, and results-oriented mindset, committed to adding value to the organization.

What We Offer:
Join us for a rewarding career path with diverse opportunities for professional growth. You will have the chance to lead strategic projects that significantly impact business growth, within a culture that values teamwork and cross-functional collaboration. We are committed to creating an inclusive workplace that appreciates diverse thoughts, backgrounds, and experiences. Our competitive compensation and benefits package reflects our commitment to making a difference in our communities.

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