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Closed listing

CIBC

Sr. Quantitative Analyst, Quantitative Risk Modeling

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Full-time
Closing date: Sep 15, 2026
Posting language: English
Posted: Sep 1, 2026

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Original job description

Archived listing. The details below describe a past opening.

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

Quantitative Risk Modelling has several duties with respect to risk models, including model development, monitoring, governance, assessment, and consultation. Reporting to the Sr. Manager, the Sr. Quantitative Analyst will use tools such as Databricks, Python, SAS, and other modelling software, to execute the performance monitoring process for various risk models. You will also be responsible for our day-to-day operations including root cause analysis, ad-hoc quantitative assessments, and model documentations.

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

Model Performance Monitoring – You will execute the day-to-day model operations and testing with regards to monitoring and implementation including maintenance of dashboards and reports. Track the effectiveness of predictive models in order to evaluate their ongoing performance and keep them current.
Models and Scorecards Development – You will contribute to the development of new models/scorecards and characteristics to mitigate credit risk across a broad variety of portfolios including Credit, AML, and Fraud risk. Collaborate with business partners to advanced analytics project from conception to implementation including Machine Learning and AI initiatives.
Value-Added Quantitative Analysis – You will conduct quantitative analysis to support the development and implementation of new and existing models or scorecards within Credit Risk. Work closely within the team to facilitate effective dissemination of risk information regarding models.

Who you are

You can demonstrate experience. In data analytics focused role. Demonstrate advanced analytics skills, machine learning, statistical procedures, techniques to conceptualize, research, compile and translate analytical findings into meaningful applicable strategies and recommendations. Proficiency with SQL, Python, PySpark, Databricks, and SAS.
You can demonstrate knowledge. Risk modelling with regards to model development, monitoring and understand the business concepts, strategy, and usage of these models.
You have a degree. In a quantitative field such as Analytics, Statistics, Mathematics, etc.
You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Strong Python, SQL, and SAS skills.
You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.
You know that details matter. You notice things that others don't. Your critical thinking skills help to inform your decision making.
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 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-81 Bay, 29th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Communication, Risk Analytics, Risk Models, SAS Enterprise

About employer

More about this job

Responsibilities

The Sr. Quantitative Analyst will execute performance monitoring, testing, and maintenance for various risk models using tools like Python, SAS, and Databricks. They will also contribute to the development of new models and scorecards to mitigate credit, AML, and fraud risks while collaborating on AI and machine learning initiatives.

Requirements

Candidates must possess a degree in a quantitative field such as Analytics, Statistics, or Mathematics and demonstrate advanced skills in data analytics and machine learning. Proficiency in SQL, Python, PySpark, Databricks, and SAS is required, along with experience in risk modeling and model governance.

Skills

Quantitative risk modeling
Data analytics
Machine learning
Python
SQL
SAS
PySpark
Databricks
Statistical procedures
Credit risk
AML
Fraud risk
Model development
Model monitoring
Critical thinking
Communication

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

Quantitative Risk Modeling
Databricks
Python
SAS
SQL
PySpark
Machine Learning
Artificial Intelligence
Credit Risk
AML
Fraud Risk
Model Governance
Predictive Models
Scorecards
Data Analytics
Statistics
Mathematics
Root Cause Analysis
Dashboards
Reporting
Risk Management
Quantitative Analysis
Model Development
Performance Monitoring
Banking

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