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Credit Risk Modeler Jobs in Quebec (NOW HIRING)

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

Strategies aim to make the best decision based on credit risk in order to maximise the profitability of the model. * Communicate and document the progress of your work in an agile way in project ...

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

Strategies aim to make the best decision based on credit risk in order to maximise the profitability of the model. * Communicate and document the progress of your work in an agile way in project ...

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

Strategies aim to make the best decision based on credit risk in order to maximise the profitability of the model. Communicate and document the progress of your work in an agile way in project ...

NavitasPartners

CA$30/hr

Develop machine learning models and pipelines. * Build feature engineering frameworks. * Deploy ... Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer ...

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

... Work Model Hybrid Start Immediate ABOUT THE ROLE We are looking for an experienced AI Engineer to ... You will work across fraud detection, credit risk, regulatory compliance, and customer analytics ...

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All JobsCredit Risk Modeler JobsCredit Risk Modeler Jobs in Quebec

Credit Risk Modeler information

See Quebec salary details

$14

$58

$88

How much do credit risk modeler jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for credit risk modeler in Quebec is $58.56, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $77.64 per hour, depending on experience, location, and employer.

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

To thrive as a Credit Risk Modeler, you need a solid background in quantitative finance, statistics, and data analysis, often supported by a degree in mathematics, finance, or a related field. Familiarity with programming languages such as Python, R, or SAS, as well as experience with risk modeling frameworks and regulatory requirements like Basel III, is typically required. Strong analytical thinking, attention to detail, and effective communication make a candidate stand out in this role. These skills are crucial for accurately predicting credit risk, ensuring regulatory compliance, and supporting informed decision-making in financial institutions.

How does a Credit Risk Modeler typically collaborate with other departments within a financial institution?

Credit Risk Modelers frequently work alongside data scientists, underwriters, compliance teams, and business analysts to develop and refine risk assessment models. Collaboration with IT teams is common for implementing models into production systems, while regular interaction with regulatory and compliance groups ensures models meet legal standards. Effective communication with stakeholders is essential to translate technical findings into actionable business strategies, making cross-functional teamwork a key part of the role.

What does a Credit Risk Modeler do?

A Credit Risk Modeler is responsible for developing statistical models and analytical tools to assess the likelihood that borrowers will default on their loans or credit obligations. They use data analysis, statistical techniques, and machine learning algorithms to predict credit risk and help financial institutions make informed lending decisions. Their work involves gathering and cleaning data, building predictive models, validating model performance, and ensuring compliance with regulatory standards. Credit Risk Modelers play a crucial role in managing a bank's or lender's exposure to financial risk and maintaining a healthy loan portfolio.

What is the difference between Credit Risk Modeler vs Credit Analyst?

AspectCredit Risk ModelerCredit Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often certifications like FRM or CFABachelor's degree in finance, accounting, or related field; certifications like CFA are common
Work EnvironmentQuantitative teams, risk management departments, financial institutionsBank branches, lending departments, credit departments
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending companies, credit bureaus

The main difference is that Credit Risk Modelers develop statistical models to assess and predict credit risk, focusing on quantitative analysis. Credit Analysts evaluate individual creditworthiness of borrowers, primarily through financial statement analysis and credit reports. Both roles require financial knowledge, but Modelers are more data and model-focused, while Analysts are more client and credit evaluation-focused.

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What are popular job titles related to Credit Risk Modeler jobs in QC? For Credit Risk Modeler jobs in QC, the most frequently searched job titles are:
Credit Risk Modeler jobs near you

Product Manager - Computer Vision & Data Products (Remote, Canada)

Zesty.ai

Montreal, QC • Remote

Other

Posted 3 days ago

Job description

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

  • Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
  • Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
  • Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
  • Work closely with data scientists and software engineers as a key member of the product development team
  • Act as the model owner and subject matter expert when interfacing with Regulators and Customers
  • Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
  • Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

  • 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

  • Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
  • Outstanding communication skills, well-versed in building executive-style presentations
  • Ability to manage multiple/competing priorities and deliver on time
  • Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
  • Proficient in SQL, Excel, Python
  • Must be legally eligible to work in Canada

Nice to Have:

  • Exposure to insurance, real estate, and risk modeling
  • Experience working with computer vision models

Why ZestyAI:

  • Be a part of a well-funded growth-stage start-up
  • Work with a high-performance product team and cutting-edge development team
  • Market competitive comp and equity incentives to give you a stake in our future
  • Remote-first policy
  • Flexible Time Off
  • Comprehensive benefits package
  • Home office setup stipend
  • Annual Learning and Development allowance
  • An upbeat and collaborative work culture
  • Company-sponsored outings and offsites

Apply