Manager, Fraud Analytics - Toronto, Canada - Scotiabank
Description
Requisition ID: 193724
Employee Referral Program - Potential Reward: $2,000.00
We are committed to investing in our employees and helping you continue your career at Scotiabank.
Is This Role Right for You? In this role, you will:
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Develop, execute and monitor fraud strategies for our Canadian Retail Bank portfolio and Scene+ Loyalty program.
- Leverage data analytics tools (Python, R, SAS, etc.) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
- 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
- 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
- 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 daytoday activities and decisions.
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of daytoday business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
- A University degree in statistics, mathematics or computer science
- 35 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
- Strong coding, organizing, and manipulating large amounts of data (for example 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 selfmotivated, energetic, and resultsoriented and be committed to adding value to the organization
Scotiabank is a leading bank in the Americas
Guided by our purpose:
"for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
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