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Hourly Credit Risk Modeling Jobs in Toronto, ON (NOW HIRING)

Role Overview As a Senior Credit Risk Modeling - Data Science, you will be an individual contributor responsible for developing, validating, and maintaining predictive credit risk models for our ...

Document policies, decision logs, and model governance materials. CrossFunctional Partnership * Advise product and engineering on credit risk features and decision engine logic. * Partner with ...

Strong skills in quantitative methods including statistical analysis, and credit risk modeling * Strong skills in quantitative methods and computer technology, such as Python, R and SAS * 3-5 years ...

VP credit Risk & Analytics

Toronto, ON · On-site

CA$160K - CA$180K/yr

VP Credit Risk & Analytics Cambridge ON With over $1Billion in loans funded, our client has helped ... Experience building predictive models, regression modeling, credit modelling for auto adjudication ...

VP credit Risk & Analytics

Toronto, ON · On-site

CA$160K - CA$180K/yr

VP Credit Risk & Analytics Cambridge ON With over $1Billion in loans funded, our client has helped ... Experience building predictive models, regression modeling, credit modelling for auto adjudication ...

Credit Risk Strategist

Oakville, ON · On-site

CA$2.0K/wk

Participate in the complete life cycle of credit risk management, including data mining, model building, decision optimization, strategy development & implementation Develop, manage and monitor ...

Credit Risk Strategist

Oakville, ON · On-site

CA$2.0K/wk

Participate in the complete life cycle of credit risk management, including data mining, model building, decision optimization, strategy development & implementation Develop, manage and monitor ...

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Hourly Credit Risk Modeling information

What is hourly credit risk modeling?

Hourly credit risk modeling is the process of assessing and predicting the likelihood of a borrower defaulting on their financial obligations, with risk evaluated and updated on an hourly basis. This approach is often used by financial institutions and fintech companies that require real-time credit risk analysis for instant lending decisions or ongoing portfolio monitoring. By utilizing real-time data and advanced analytics, hourly credit risk modeling enables lenders to respond quickly to changes in a borrower's financial behavior or external market conditions. This leads to more accurate risk assessments and helps institutions manage their exposure more effectively.

What is the difference between Hourly Credit Risk Modeling vs Credit Analyst?

AspectHourly Credit Risk ModelingCredit Analyst
Primary FocusDeveloping and implementing credit risk models to assess borrower riskAnalyzing credit data to evaluate creditworthiness of individuals or companies
Required SkillsStatistical analysis, modeling, programming, financial analysisFinancial analysis, credit report review, communication skills
Work EnvironmentFinancial institutions, consulting firms, often project-basedBanks, lending institutions, credit departments
CertificationsOften requires CFA, FRM, or similar certificationsTypically requires finance or accounting degrees; certifications like CFA are common

Hourly Credit Risk Modeling involves creating quantitative models to predict credit risk, often requiring advanced statistical and programming skills. Credit Analysts focus on evaluating individual credit data to make lending decisions. While both roles require financial knowledge and may share certifications, their core responsibilities differ: one is model development, the other is credit evaluation.

What are the key skills and qualifications needed to thrive as an Hourly Credit Risk Modeler, and why are they important?

To thrive as an Hourly Credit Risk Modeler, you need strong quantitative skills, a background in finance, economics, mathematics, or statistics, and experience with credit risk principles. Familiarity with statistical software such as SAS, R, or Python, as well as knowledge of risk modeling frameworks and regulatory requirements, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills are essential for accurately assessing credit risk, supporting sound decision-making, and ensuring regulatory compliance in financial institutions.

How does an Hourly Credit Risk Modeling professional typically collaborate with other departments within a financial institution?

Hourly Credit Risk Modeling professionals often work closely with teams such as underwriting, data analytics, and IT to ensure credit risk models are accurate and actionable. They may participate in cross-functional meetings to discuss model performance, share insights from data analysis, and implement feedback from business stakeholders. Collaboration is key, as their models directly influence lending decisions, risk management strategies, and regulatory compliance. Regular communication with colleagues helps ensure that risk models stay aligned with evolving business needs and regulatory requirements.
What are the most commonly searched types of Credit Risk Modeling jobs in Toronto, ON? The most popular types of Credit Risk Modeling jobs in Toronto, ON are:
What are popular job titles related to Hourly Credit Risk Modeling jobs in Toronto, ON? For Hourly Credit Risk Modeling jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Hourly Credit Risk Modeling jobs in Toronto, ON look for? The top searched job categories for Hourly Credit Risk Modeling jobs in Toronto, ON are:
Infographic showing various Hourly Credit Risk Modeling job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Manager, Regulatory and Risk Advisory (Quant)

KPMG

Toronto, ON

Full-time

Posted 27 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference. 

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.


What you will do

You will work closely with the Partner responsible for the Regulatory and Risk Advisory practice on advisory projects and contribute to business development. The incumbent will:

  • 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.
  • Work on multiple assignments simultaneously, potentially involving several partners.
  • Prepare detailed reports presenting the execution approach, observations, and recommendations.
  • 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.
  • Prepare service proposals to meet the business needs of clients.
  • Deliver presentations to clients, participate in client meetings, as well in business development.

What you bring to the role
  • 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.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival 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 deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

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. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

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. However, no hiring decisions are made using AI. 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.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 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.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival 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 deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME