Risk and Regulatory Manager

At KPMG, you'll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.
Backed by deep industry knowledge, our team works with organizations to strengthen their governance and operating models, positioning them to effectively achieve their risk management goals. KPMG's Regulatory and Risk Advisory (RRA) professionals help organizations by addressing complex challenges, creating, and protecting sustainable business value and transforming risk into a strategic advantage.
We are currently seeking a Senior Manager with a quantitative profile, specializing in credit risk modeling to join our Regulatory and Risk Advisory team within our Toronto office, The candidate will offer advisory services in credit risk modeling and validation and will be working on a wide variety of projects with banks, credit unions, insurers, and investment funds.
You will work closely with the Partner responsible for the Regulatory and Risk Advisory practice on advisory projects and contribute to business development. Lead daily work on assignments related to credit modelling and risk management; develop credit models, perform validations, and participate in external/internal audit engagements related to IFRS 9 - ECL, credit modelling, or other quantitative engagements to meet the clients' expectations.
Provide expertise in development or validation of models for a wide area of products such as retail (mortgages, revolving, other retail loans) and non-retail portfolios (corporate, commercial, real estate), for underwriting credit models, credit risk scorecards or risk ratings models.
Coordinate the execution of various risk management projects to add value.
Review analyses and deliverables produced by the execution team to ensure their high quality.
10 years of relevant experience in banking including work in credit model development or validation functions.
Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
Professional designation is an asset (FRM, CFA).
Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
Well versed in model risk management activities.
Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
Proficiency in Bloomberg valuation and pricing models an asset.
Motivation to achieve high standards of customer service and professionalism.
Ability to adequately manage projects and budgets.
Excellent verbal and written communication skills in English; bilingual capability in French an asset.
Initiative, ability to work independently with minimal supervision.
Commitment to achieving high standards of customer service and professionalism in project delivery.
The expected base salary range for this position is $149,000 to $199,000 and may be eligible for bonus awards. At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. If you require support, please contact KPMG's Employee Relations Service team by calling View phone number on onjobcentre.ca.
Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG's Trusted AI framework.