Fraud Analytics Manager - North York, Canada - Scotiabank
Description
Requisition ID: 172337Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose
Contributes 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.
Accountabilities:
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
- 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
- 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 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.
- 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 (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 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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