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Added 11 mins ago
B
Senior Relationship Manager, Commercial Banking (Corporate Finance Group)
BMO
Edmonton, AB · Enbridge
- Full-time
The Senior Relationship Manager manages a commercial lending portfolio and supports the origination of new clients, and coordinates with other products as an integral part of a larger…
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Superintendent
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- Full-time
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Superintendent
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- Full-time
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- Full-time
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Senior Finance Analyst-Infrastructure & Engineering
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Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
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- Full-time
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Manager, Insurance Compliance
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Multi-Unit Store Manager II Canada
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- Full-time
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- Full-time
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Territory Manager (4 Days PT) Victoria/Duncan - 6 Month Contract
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BC
- Part-time
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National Account Manager - West
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Vancouver, BC · BC
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Manager, GTM Evolution
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Territory Sales Manager
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…goals and an aggressive professional attitude towards sales development and…
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Project Communication & Change Manager (70311934)
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Mississauga, ON
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…to join Sodexo as our next Project Communications & Change Manager located in Ontario,…

CIBC

Sr. Quantitative Analyst, Quantitative Risk Modeling

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 14, 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

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

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More about this job

Responsibilities

Monitor and test risk models, maintain dashboards and reports, investigate performance issues, and conduct ad hoc quantitative assessments and model documentation. Contribute to the development of models and scorecards for credit, AML, and fraud risk, and collaborate with business partners on analytics, machine learning, and AI initiatives.

Requirements

Requires experience in data analytics and knowledge of risk model development, monitoring, and business use. Candidates should have a quantitative degree and strong skills in Python, SQL, PySpark, Databricks, and SAS, along with advanced analytics, statistical, and machine learning capabilities.

Skills

Risk Analytics
Risk Modeling
Model Performance Monitoring
Model Development
Statistical Analysis
Machine Learning
Artificial Intelligence
Python
SQL
PySpark
Databricks
SAS
Root Cause Analysis
Quantitative Analysis
Communication
Dashboard Reporting

Benefits

Competitive Salary
Incentive Pay
Banking Benefits
Benefits Program
Defined Benefit Pension Plan
Employee Share Purchase Plan
Vacation
Wellbeing Support
Employee Recognition Program

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Risk Modeling
Risk Models
Credit Risk
AML
Fraud Risk
Model Development
Model Monitoring
Model Governance
Model Assessment
Model Performance
Scorecards
Predictive Models
Data Analytics
Advanced Analytics
Machine Learning
Artificial Intelligence
Statistical Procedures
Quantitative Analysis
Root Cause Analysis
Python
SQL
PySpark
Databricks
SAS
Dashboards
Reporting
Model Documentation

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