Consultant, Fraud Analytics

CIBC•Toronto, ON

6d•Hybrid

About The Position

Our team leverages advanced analytics to monitor and analyze retail customer transactions, including e-transfers, cheques, wires, and other online activities, to develop and optimize fraud detection strategies that minimize losses and enhance the client experience at CIBC. As a Consultant, Fraud Analytics, you'll independently design and perform moderately complex statistical analyses using advanced analytical techniques and data mining tools. You'll apply predictive modeling methods such as optimization, neural networks, logistic regression, decision trees, random forests, and sampling to support fraud mitigation. You'll conduct ongoing data analysis and manage rules within CIBC’s fraud mitigation systems, implementing new strategies and continuously improving existing ones to reduce fraud losses and minimize customer impacts. Your insights and expertise will help shape our approach to fraud detection and ensure we stay ahead of emerging threats. 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, SAS Miner, Tableau, and/or SQL.
A degree/diploma in an Analytics/Statistics Based discipline.
Current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field.
Bring your real self to work and live our values - trust, teamwork, and accountability.

Nice To Haves

Master’s level degree would be an asset.

Responsibilities

Independently design and perform moderately complex statistical analyses using advanced analytical techniques and data mining tools.
Apply predictive modeling methods such as optimization, neural networks, logistic regression, decision trees, random forests, and sampling to support fraud mitigation.
Conduct ongoing data analysis and manage rules within CIBC’s fraud mitigation systems, implementing new strategies and continuously improving existing ones to reduce fraud losses and minimize customer impacts.
Improve fraud monitoring by creatively responding to fraud trends and mitigating risk associated with new operational processes.
Guide strategy by providing evidence-based analytical solutions and conducting complex feasibility studies and cost/benefit analyses to recommend fraud mitigation rule options.
Create and maintain SAS, SQL, and Python programs to access and support decision-making from data repositories.
Effectively articulate ideas and analysis through excellent verbal and written communication, clearly interpreting and assessing complex information for diverse audiences.

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