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Credit Risk Modeler Jobs in Quebec (NOW HIRING)

Role model critical behaviors to enhance customer experience. * Demonstrate inclusive behaviors and provide opportunities to collaborate across teams. Required Qualifications: * Deep credit risk ...

Our team's mandate is to implement solutions to optimise credit decision models and strategies for ... of the Credit risk Portfolio and Collection and Recovery. Our goal is to offer you maximum ...

Our team's mandate is to implement solutions to optimise credit decision models and strategies for ... of the Credit risk Portfolio and Collection and Recovery. Our goal is to offer you maximum ...

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You ...

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You ...

As part of the Credit Portfolio Management (CPM) team, you will play a vital role in managing and ... models, risk assessments, and reporting. * Proposing and updating internal obligor risk ratings ...

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 ...

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 ...

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Credit Risk Modeler information

See Quebec salary details

$14

$58

$88

How much do credit risk modeler jobs pay per hour?

As of May 29, 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.

What are popular job titles related to Credit Risk Modeler jobs in Quebec? For Credit Risk Modeler jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Credit Risk Modeler jobs in Quebec look for? The top searched job categories for Credit Risk Modeler jobs in Quebec are:
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:
Infographic showing various Credit Risk Modeler job openings in Quebec as of May 2026, with employment types broken down into 47% Full Time, 50% Part Time, and 3% Temporary. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $121,799 per year, or $58.6 per hour.
Credit Risk Modelling Senior Associate (Bilingual FR/EN)

Credit Risk Modelling Senior Associate (Bilingual FR/EN)

PwC

Montreal, QC • Hybrid

CA$73.40K - CA$122.40K/yr

Full-time

Posted 4 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Financial Risk

Management Level

Senior Associate

Job Description & Summary

A career in our Financial Services Risk and Regulatory (FS R&R) Credit Risk Modelling practice will provide you with the opportunity to help financial institutions rethink their approach to risk by developing a distinctive strategy and creating capabilities and performance. We play an important part in helping our clients assess, design and develop solutions that not only help them manage risk but also transform risk and complexity into a sustainable advantage.
Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third parties who have a financial or contractual commitment to them, expected credit loss measurement (IFRS 9 ECL and CECL), capital measurement/stress testing. As part of the team, you'll help with credit risk modeling, model risk management as well as climate risk modeling for financial institutions.

Meaningful workyou'llbe part of

As a Credit Risk Modelling Senior Associate,you'llwork as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:

  • Model development, validation and implementation of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models, allowance for loan and lease loss models (e.g., IFRS9).Assistassurance teams with reviews of clients' model development and validation processes

  • AI and machine learning model development and validation

  • Model risk governance and controls related activities supporting clients in managing model risk across multiple asset classes

  • Collaborate with the team members at various levels to lead and develop compelling client proposals, white papers, thought leadership and points of view, describing the business challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling etc.

  • Build andmaintaineffective,trustingand collaborative client relationships

Experiences and skillsyou'lluse to solve

  • Sufficient experience and exposure to financial services risk practices, credit risk modeling including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling/ or calculations (e.g.IFRS9)

  • Development,implementationand assessment of quantitative credit risk measurement methodologies

  • Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk managementpoliciesand risk management organization structures

  • Significant experienceand proven ability in at least one of the following programming languages/softwares: Python, R, SQL, SAS, C++, etc.

  • Master's degree in Economics, Statistics, Mathematics, Physics, Engineering, Financial Engineering, DataScience orother relevant fields would bean asset

  • PRM, FRM or CFA designation would be an asset

  • Proven abilities, especially creative problem-solving, toutilizecredit risk management software,dataandmethodologyin the completion of client engagements, including leveraging related technology vendors and their application

  • Communicationsskillsdemonstratedthrough the ability to write proposals, reports, presentations, etc.

  • Demonstrated ability to manage and prioritize multiple projects

  • A demonstrated commitment to valuing differences and working alongside diverse people and perspectives

  • The successful candidaterequiresfluency in English, in addition to French as they willbe requiredto support or collaborate with English-speaking clients, colleagues and/or stakeholdersduring the course oftheir employment with PwC Canada

  • PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $73,400 - $122,400. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation, Self-Awareness, Statistical Analysis Software, Statistical Consulting {+ 3 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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