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

PwC

Credit Risk Modelling Senior Associate

Toronto, ON · Hybrid

CA$73K - CA$122K/yr

Model development, validation, internal auditof Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models ...

PC Financial

Analyst, Credit Risk

Toronto, ON · On-site

CA$52K - CA$71K/yr

As a risk analyst, you will contribute to driving business meaning and enhancements to existing ... Collaborate with cross-functional teams to develop and enhance expected credit loss models ...

PC Financial

Analyst, Credit Risk

Toronto, ON · On-site

CA$52K - CA$71K/yr

As a risk analyst, you will contribute to driving business meaning and enhancements to existing ... Collaborate with cross-functional teams to develop and enhance expected credit loss models ...

goeasy

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Apply observations to loss forecasting models to capture current trends and communicate to Senior ... periodic credit reviews, and consistently communicating findings. What experience do you have?

goeasy

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Apply observations to loss forecasting models to capture current trends and communicate to Senior ... periodic credit reviews, and consistently communicating findings. What experience do you have?

goeasy

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Apply observations to loss forecasting models to capture current trends and communicate to Senior ... periodic credit reviews, and consistently communicating findings. What experience do you have?

goeasy

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Apply observations to loss forecasting models to capture current trends and communicate to Senior ... periodic credit reviews, and consistently communicating findings. What experience do you have?

HollisWealth

Credit Risk Officer

Toronto, ON · Hybrid

Credit underwriting and adjudication) and work with the Modeling Director and teams to implement the appropriate risk mitigation. * Serve in an advisory capacity and, in accordance with the ...

MasterCard

Director, Credit Risk Policy

Toronto, ON · On-site

Title and Summary Director, Credit Risk Policy Director, Credit Risk Policy Overview: This role ... role model for risk culture, governance discipline, and ethical decision-making Exercises ...

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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:
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Hourly Credit Risk Modeling jobs near you
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.
Credit Risk Modelling Senior Associate

Credit Risk Modelling Senior Associate

PwC

Toronto, ON • Hybrid

CA$73K - CA$122K/yr

Full-time

Posted 16 days ago

PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th 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 & Regulatory Group - Financial Risk Management 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 (IFRS9 and CECL), capital measurement/stress testing. As part of the team, you'll help with credit risk modeling, model risk management as well as AI/ML/GenAI 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, internal auditof 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

  • Artificial Intelligence (AI)/machine learning(ML)/Generative AI (GenAI)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 asMachine Learning, GenAI and climate risk modeling,etc.

  • Build andmaintaineffective,trustingand collaborative client relationships

Experiences and skillsyou'lluse to solve

  • Proficientexperience 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,validationand assessment of quantitative credit risk measurement methodologies

  • Proficient experience and exposure to AI/ML modeling,including theoretical approach andrelated technology and platforms;significantexperienceand proven ability in at least one of themainAIplatforms:Vertex AI, Azure AI,etc.is preferred

  • 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/software: Python, R, SQL, SAS, C++, etc.

  • Master's degreein Statistics, Mathematics, Physics, Engineering, Financial Engineering, DataScienceorother relevant fields

  • 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

  • Strong writingskillsdemonstratedthrough the ability todraftproposals, reports, presentations, etc.

  • Strong verbal and written communication skillsdemonstratedthrough interactions with other teams/team members at all levels

  • Demonstrated ability to manage and prioritize multiple projects

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

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $73,400 - $122,400. The posted salary rangerepresentsthe expected hiring range for PwC locations in major citycentres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary isdeterminedby your skills, experience,qualificationsand work location.In addition to base salary, eligible employees may have opportunities toparticipatein 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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