Consultant, Fraud Analytics

As an Consultant, Fraud Analytics within CIBC’s fraud mitigation team, you'll independently design and perform moderately complex statistical analyses using advanced analytical techniques and data mining tools. You'll leverage predictive modeling methods such as optimization, neural networks, logistic regression, decision trees, random forests, and sampling to support fraud detection and prevention strategies. Your ongoing data analysis will directly impact rules management within our fraud mitigation systems, helping to implement new strategies and continuously improve existing ones. By enhancing fraud monitoring systems, you'll play a key role in mitigating fraud losses and reducing customer impacts and irritants. You'll also collaborate with stakeholders to ensure analytical solutions are evidence-based and aligned with organizational goals.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How you'll succeed

• Analytical Thinking - Improve fraud monitoring by responding creatively to emerging fraud trends and mitigating risks associated with new operational processes. Guide strategy by providing evidence-based analytical solutions. Conduct complex feasibility studies and cost/benefit analyses to clearly depict fraud mitigation rule options and recommend the best courses of action. 

• Data Management - Create and maintain SAS, SQL, and Python programs to access decision support data repositories. Demonstrate strong database management, querying, and programming/software expertise.

• Communication Skills - Articulate ideas and opinions effectively, both verbally and in writing, including analysis, interpretation, and assessment of complex information.

Who you are

• You give meaning to data. You enjoy investigating complex problems and making sense of information. You're confident in your ability to communicate detailed insights in an impactful way, and you have experience using SAS Enterprise Guide (EG), SAS Miner, Tableau, and/or SQL.

• You have a degree or diploma in an analytics/statistics-based discipline. A master’s degree would be an asset.

• You love to learn. You're passionate about growing your knowledge and continuously improving your expertise in modeling and analytical techniques.

• You look beyond the moment. You make decisions and take actions that drive positive outcomes today and in the future. You proactively seek new opportunities and solutions based on sound analysis.

• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.