Search jobs

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

As the Sr. Data Scientist, Fraud Analytics, you will be responsible for Transaction Monitoring and contributing to the management of CIBC’s on-going fraud exposure through the proactive and assigned analysis, development, maintenance and deployment of data-driven fraud mitigation algorithms. You will required to conduct predictive modeling which include complex statistical concepts/theories and predictions including optimization, clustering, neural nets, logistic regression, multiple decision trees, sampling, and Bayesian estimation. The analysis and modeling may require creative thinking to overcome limitations in data availability and data quality. As well, you will provide leadership and direction to junior employees within the department, and project support in the capacity of subject matter expert related to transaction monitoring systems. You will also proactively lead and conduct/identify business problems where analytical techniques can be effectively applied to achieve core business objectives. Lead and conduct feasibility studies and analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How you’ll succeed

• Analytical Thinking – Improve fraud monitoring by creatively respond to fraud trends and mitigate risk surrounding new operational processes. Guide strategy by providing evidence based analytical solutions. Conduct complex feasibility studies and cost/benefit analysis to clearly depict fraud mitigation rule options and recommended courses of action.
• Data Management – Creation and maintenance of computer programs (ex: SAS, SQL, Python) to access a decision support data repository. Database management/querying, and computer programming/software expertise.
• Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.

Who you are