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CIBC

Sr. Data Scientist, Fraud Analytics

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 10, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

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

You give meaning to data. You enjoy investigating complex problems and making sense of information. You are confident in your ability to communicate detailed information in an impactful way. You have experience using SQL, SAS EG, SAS Miner, Tableau and/or Python.
You have a degree/diploma in an Analytics/Statistics/Computers Based discipline. Master’s level degree would be an asset.
You're passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.
You love to learn. You are passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field.
You live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.

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 Mailbox.careers-carrieres@cibc.com
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, Data Analytics, Data Management, Ensure Compliance, Fraud Analytics, Fraud Management, Group Problem Solving, Loss Forecasting, People Management, Reporting and Analysis, Structured Query Language (SQL)

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will develop and deploy data-driven fraud mitigation algorithms and conduct complex predictive modeling to manage fraud exposure. They will also provide leadership to junior staff and act as a subject matter expert for transaction monitoring systems.

Requirements

Candidates must have a degree in an analytics, statistics, or computer-based discipline, with a master's degree considered an asset. Proficiency in SQL, SAS, and Python is required, along with strong analytical and communication skills.

Skills

Analytical thinking
Data analytics
Data management
Fraud analytics
Fraud management
Predictive modeling
Statistical concepts
Optimization
Clustering
Neural nets
Logistic regression
Decision trees
Bayesian estimation
SAS
SQL
Python

Benefits

Competitive salary
Incentive pay
Banking benefits
Benefits program
Defined benefit pension plan
Employee share purchase plan
Vacation offering
Wellbeing support
MomentMakers recognition program
Purpose Day

Visa sponsorship

Not detected in the job text

Keywords

Fraud Analytics
Transaction Monitoring
Predictive Modeling
Statistical Analysis
Optimization
Clustering
Neural Nets
Logistic Regression
Decision Trees
Bayesian Estimation
SAS
SQL
Python
Tableau
Data Management
Feasibility Studies
Cost-Benefit Analysis
Risk Mitigation
Banking
Financial Services

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