Eqbank6mo ago

Senior Analyst, Fraud Strategy & Analytics

Toronto · TorontoFull Timesenior

Data ScienceOtherAnalyticsData & AI

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Overview

Join a Challenger Being a traditional bank just isn’t our thing, so we challenge ourselves to get creative in providing innovative banking solutions for Canadians.

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Data ScienceOtherAnalyticsData & AI

Join a Challenger

Being a traditional bank just isn’t our thing, so we challenge ourselves to get creative in providing innovative banking solutions for Canadians.

How do we get there? With a talented team of inquisitive and agile challengers that break through the status quo. So, if you’re passionate about redefining the future of banking—while having fun—this could be your next big opportunity.

Our company continues to grow, and today we serve more than 800,000 customers across Canada through Equitable Bank, Canada's Challenger Bank™, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than six million members. Together we have over $142 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our customers have named our EQ Bank digital platform (eqbank.ca) one of the top banks in Canada on the Forbes World's Best Banks list since 2021.

Senior Analyst, Fraud Strategy & Analytics will be reporting to Manager, Fraud Strategy and Analytics. The Senior Analyst be responsible for creating an effective and balanced fraud mitigation program for digital banking through fraud strategy & analytics, monitoring & data management as well as coordinating response to fraud incidents. This would also include supporting on a variety of projects including defining fraud framework in EQ Bank. These projects involve cross-functional teams and contribute to the overall strategy and direction of the company and support senior executive and Board-level decision making.

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

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