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 have experience building machine learning models

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

What we offer [For full-time permanent roles] Competitive discretionary bonus Market leading RRSP match program Medical, dental, vision, life, and disability benefits Employee Share Purchase Plan🏽 Maternity/Parental top-up while you care for your little one Generous vacation policy and personal days Virtual events to connect with your fellow colleagues Professional development and comprehensive Career Development program A fulfilling opportunity to join one of the top Fin Techs and help create a new kind of banking experience

The incumbent will be working hybrid and in office time will be spent working from Equitable Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON
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