Consultant, Fraud Analytics

CIBC • Toronto, ON

4d • Hybrid

About The Position

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.

Requirements

• Experience using SAS Enterprise Guide (EG), SAS Miner, Tableau, and/or SQL.
• A degree or diploma in an analytics/statistics-based discipline.
• Strong database management, querying, and programming/software expertise.
• Ability to communicate detailed insights in an impactful way.
• Legally eligible to work at the location(s) specified and, where applicable, must have a valid work or study permit.

Nice To Haves

• A master’s degree would be an asset.

Responsibilities

• Independently design and perform moderately complex statistical analyses using advanced analytical techniques and data mining tools.
• Leverage predictive modeling methods such as optimization, neural networks, logistic regression, decision trees, random forests, and sampling to support fraud detection and prevention strategies.
• Impact rules management within fraud mitigation systems by performing ongoing data analysis, implementing new strategies, and continuously improving existing ones.
• Enhance fraud monitoring systems to mitigate fraud losses and reduce customer impacts and irritants.
• Collaborate with stakeholders to ensure analytical solutions are evidence-based and aligned with organizational goals.
• 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.
• Create and maintain SAS, SQL, and Python programs to access decision support data repositories.
• Articulate ideas and opinions effectively, both verbally and in writing, including analysis, interpretation, and assessment of complex information.

Benefits

• Competitive salary
• Incentive pay
• Banking benefits
• Benefits program
• Defined benefit pension plan
• Employee share purchase plan
• Vacation offering
• Wellbeing support
• MomentMakers, our social, points-based recognition program
• Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level