Manager, Fraud Analytics

Scarborough, ON, CA, M1K5L1

Applications have closed

 

 

 

Requisition ID: 208352

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

The Role

 

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. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures. Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments. 
 

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 customer onboarding and product applications.
  • Become an SME of Application Fraud platforms such as Citadel, ThreatMetrix, Emailage, EnStream, PRM, 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 Iidentify 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 day-to-day activities and decisions.
  • Actively pursues 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, 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
  • 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)
  • 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 self-motivated, energetic and results-oriented and be committed to adding value to the organization

 

Location(s):  Canada : Ontario : Scarborough || Canada : Ontario : Toronto 

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.  

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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Computer Science CX Data Mining Mathematics Python R SAS Statistics

Perks/benefits: Career development Team events

Region: Europe
Country: United Kingdom

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