Senior Quantitative Analyst, IFRS 9 and Stress Testing Models

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 Senior Quantitative Analyst, IFRS 9 & Stress Testing Models, you will work under guidance of the Senior Director and will be part of a team responsible for the design, development, documentation, and implementation of Forecasting and Stress Testing Models for the Bank’s credit portfolios (retail and wholesale).

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

• Design and develop – You will contribute to the design, development, documentation, implementation, use, and monitoring of forecasting & stress testing models for the Wholesale and Retail credit portfolios.

• Use of models – You will estimate potential losses and regulatory capital requirements under forecasted/stress scenarios for the Wholesale and Retail portfolios at the bank or business level for the purposes of (i) IFRS 9 Expected Credit Loss under forward looking information (ii) Internal Capital Adequacy Assessment Process (ICAAP), (iii) regulatory stress testing exercises, and (iv) the assessment of risk at the business level.

• Analytics – You will work on various ad-hoc credit risk analytics.

Who you are

• You can demonstrate experience in credit risk quantification (PD, LGD and EAD) and time series modeling. You are proficient with SAS and its statistical procedures and techniques. It's an asset if you have knowledge of other statistical and programing tools, such as Python.

• You have a degree. M.Sc. or Ph.D. in a quantitative (finance, economics, statistics, mathematics, computer science) field.

• You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.

• You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.

• You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

#LI-TA

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 work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs 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.

*Subject to 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

• 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 tests (such as simulation, coding, French proficiency, MS Office). 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.

Expected End Date

2025-05-20

Job Location

Toronto-81 Bay, 29th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Credit Risk Modeling, Credit Risks, Decision Making, Group Problem Solving, IFRS 9, Loss Given Default, Model Analysis, Probability of Default, Python (Programming Language), Regulatory Requirements, Retail Banking, Risk Models, Risk Monitoring, Risk Quantification, SAS Analytics, SAS Program, Statistical Analysis Systems (SAS) Programming, Stress Testing, Time Series Forecasting, Wholesale Banking