What you'll be doing

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.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.
• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location
Toronto-CC East 12th Floor

Employment Type
Regular

Weekly Hours
37.5

Skills
Analytics, Data Analysis, Data Mining, Data Mining Tools, Decision Trees, Predictive Modeling