Consultant, Fraud Analytics

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

The Fraud Analytics team manages transactional monitoring systems to detect suspicious activity and helps protect our clients and the bank from fraud losses. As a Consultant, Fraud Analytics, you'll independently design and deliver moderately complex statistical analysis using advanced analytical techniques and data mining tools to support fraud monitoring, detection, and prevention solutions. You'll use tools such as Statistical Analysis System (SAS), Structured Query Language (SQL), Alteryx, and Python to analyze fraud trends, develop and improve detection algorithms, and support rules management within CIBC’s fraud mitigation systems. You'll apply predictive modeling techniques such as optimization, neural networks, logistic regression, decision trees, random forest, and sampling to strengthen fraud strategies. You'll also implement new approaches and continuously enhance existing monitoring strategies to reduce fraud losses and minimize client impact. Working closely with internal and external partners, you'll help support the successful deployment of fraud solutions across the bank’s ecosystem.

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

• Fraud strategy development - Improve fraud monitoring by responding to emerging fraud trends and mitigating risk related to new operational processes. Provide evidence-based analytical recommendations to support fraud detection and prevention strategies.
• Advanced analytics - Design and perform moderately complex statistical analysis and predictive modeling to evaluate fraud risks, assess rule performance, and identify opportunities to enhance monitoring systems.
• Rules management - Conduct feasibility studies and cost-benefit analysis to assess fraud mitigation rule options, recommend effective courses of action, and support the implementation and continuous improvement of fraud strategies.
• Data programming and management - Create and maintain SAS, SQL, Alteryx, and Python programs to access and analyze decision-support data repositories. Apply strong database querying and programming skills to support accurate and efficient analysis.
• Partnership and communication - Collaborate with internal and external stakeholders to support the successful deployment of fraud solutions. Communicate analysis, insights, and recommendations clearly through strong verbal and written communication.

Who you are

• You give meaning to data. You enjoy investigating complex problems and making sense of information. You can communicate detailed findings in a clear, meaningful way and have experience using tools such as SAS Enterprise Guide, SAS Miner, Tableau, and/or SQL.
• You have relevant education. You have a degree or diploma in analytics, statistics, mathematics, computer science, business management, or a related field. A master’s degree is an asset.
• You have relevant experience. You bring 5+ years of analytical experience in data science-related roles or significant experience in fraud, analytics, or risk management.
• You love to learn. You're passionate about growing your knowledge and staying current with emerging modeling and analytical techniques. You continuously look for ways to strengthen your expertise and improve outcomes.
• You look beyond the moment. You think proactively and identify opportunities to improve fraud strategies through thoughtful, data-driven solutions.
• You love to learn. You're passionate about growing your knowledge. You have a strong sense of curiosity.

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 creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]

• 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-141 Bay, 17th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Fraud Analysis, Fraud Investigations, Fraud Management, Group Problem Solving, Process Improvements, Reporting and Analysis