Senior Analyst, Fraud Strategy & Analytics

The Work !

• Fraud strategy & analytics:
• Bring fraud prevention roadmap to fruition for the digital bank
• Identify, evaluate, and mitigate of emerging fraud trends for banking and cards
• Analyze large sets of data for fraud trends, patterns and behaviors
• Develop fraud reporting to identify fraud trends, and develop strategies to minimize fraud losses
• Identify potential fraud control gaps/opportunities, assess benefit from improvements, and build the business case with Associate Director to implement changes to improve fraud controls
• Identify opportunities for driving operational efficiencies to mitigate fraud losses & manage costs


• Fraud monitoring & data management:
• Work closely with core teams to set up performance monitoring agenda and frequency
• Develop reporting to track performance of fraud mitigation tools, cost and other indicators
• Focus on continuously optimizing and improving performance in line with latest fraud trends
• Management of fraud data to enable rapid tracking and monitoring of trends
• Work with Technology teams to ensure relevant data pools are available to enable robust management and tracking of fraud data


• Support Incident response & management:
• Work with other teams such as fraud operations to identify incidents and/or latest trends and support response management to incidents by working collaboratively with cross-functional team
• Help to develop and maintain playbook for response to fraud incidents, where possible
• Effectively engage with business partners to scope and design holistic response to fraud incidents, and work with partners to implement plans

Let's Talk About You !

• Master’s or Bachelor’s degree in Computer Science or a related STEM technical field with robust understanding of data-structures, algorithms and computation complexities
• Must have 1+ years of coding experience with language agnostic although the we are Python focused
• Must have1+ years of SQL database experience
• Preferred 2+ years of experience in fraud strategy & operations, data analytics, risk management, and knowledge management in the financial services space
• Solid understanding of trade-off between fraud mitigation and customer experience across banking, cards and different payment channels
• Strong preference for experience related to Canadian banking & regulatory environment
• Bachelor’s degree in statistics, engineering, quantitative field or equivalent experience; Masters degree an advantage
• Proven record in working closely with different lines of business, influencing and collaboration in cross-functional teams
• Excellent conceptual and critical thinking skills
• Strong presentation and facilitation skills and strong interpersonal skills
• Plan, manage and action project plans and initiatives
• Experience analyzing and solving complex business problems, including ambiguous problems
• Strong analytically-anchored problem solving skills, with a solid background working with data, conducting analysis, interpreting results, and writing reports/presentations
• SQL, Python, R, Power BI or Tableau experience preferred