Data Analyst Manager

2 weeks ago


Golden Horseshoe, Canada Scotiabank Full time

{"Role": "Fraud Management Specialist", "Description": "Contribute to the success of the Fraud Management Group in Canada by executing individual goals, plans, and initiatives in support of business strategies and objectives. Ensure all activities are in compliance with governing regulations, internal policies, and procedures. Apply advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio. Develop, execute, and monitor fraud strategies for customer onboarding and product applications. Become an SME of Application Fraud platforms. Report regularly on performance of existing fraud strategies. 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 while ensuring alignment. Identify and escalate fraud risks that are or will become in excess of the Risk Appetite. Leverage data mining tools 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. Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to, and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk, and conduct risk. A University degree in statistics, mathematics, or computer science is required. 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) is required. Experience with PRM or similar fraud platform is strongly desired. Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills are essential. Strong communication skills are required with clients, vendors, and management. Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization.", "Requirements": "A University degree in statistics, mathematics, or computer science is required. 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) is required. Experience with PRM or similar fraud platform is strongly desired. Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills are essential. Strong communication skills are required with clients, vendors, and management. Must be self-motivated, energetic, and results-oriented and be committed to adding value to the organization.", "Location": "Canada: Ontario: Scarborough || Canada: Ontario: Toronto", "Company": "Scotiabank"}



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