Job Information
CIBC Senior Quantitative Analyst, Model Validation in Toronto, Ontario
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 (https://www.cibc.com/en/about-cibc.html)
What you’ll be doing
As Senior Quantitative Analyst, Model Validation, you will have the opportunity to conduct an independent validation of CIBC’s analytic models, approaches, methodologies, computations and techniques applicable to Bank-wide financial analytics, in particular, used for calculation of Economic and Regulatory Capitals, Default and Loss Risk Rating models, Treasury, IFRS 9, and Stress Testing.
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. 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
Problem solving - Review the model's fundamental rationales and assumptions for soundness, as well as the theoretical underpinnings for consistency.
Technical expertise and testing - Develop an independent benchmark, using suitable programming languages and tools, and then conduct various quantitative/qualitative tests to assess the accuracy, strength and weakness of the model.
Reporting - Write a validation/vetting report that includes a description and analysis of both model and benchmark approaches, as well as model risk and limitation.
Who you are
You have a Master’s or Ph.D. degree in one or more of the following: computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics, physics or engineering.
You can demonstrate experience in statistical modeling: logistic regressions, scorecards, survival models, deep understanding of credit risk concepts (PD, LGD, EAD), expert-judgment and override scorecards, modeling philosophy, benchmarking risk rating models and testing of sensitivity to selected risk variables, assessment of model degradation and data stability using metrics like Population Stability Index (PSI), Kolmogorov-Smirnov (KS) test, and in fairness/bias assessments, including demographic parity and equalized odds.
You can demonstrate knowledge of relevant regulations and guidelines, including the US Fed SR 11-7 Supervisory Guidance on Model Risk Management and OSFI E-23 Guidelines.
You have in-depth hands-on experience in Statistical modelling tools (e.g., SAS, R, Python).
You love to learn . You're passionate about growing your knowledge. You maintain up-to-date knowledge with regard to development and changing technology in risk management.
You’re driven by collective success . You collaborate well in a team, learning from others and applying your skill set. You proactively seek new opportunities to define what’s possible.
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 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, 31st Floor
Employment Type
Regular
Weekly Hours
37.5
Skills
Analytical Thinking, Artificial Intelligence Algorithms, Decision Making, Group Problem Solving, Machine Learning (ML), Model Analysis, Model Validation, Python (Programming Language), Regulatory Requirements, Reporting and Analysis, Risk Models, Risk Quantification, R Programming, SAS Language, Statistical Data Modeling
At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values: Trust, Teamwork and Accountability.
Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel.
Every day, our 44,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us.