1

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

Leveraging strong data mining, modeling, and analytical skills, you'll identify credit risk trends, inform adjudication and collection strategies, and develop forecasting, benchmarking, and reporting ...

As the Senior Director, Model Quantification, you'll lead the ongoing development, maintenance, use, monitoring and performance of retail credit risk parameter models that support Regulatory Capital ...

Partner with Market Risk, CCR (Counterparty Credit Risk), Model Risk, Quants, Infrastructure, and Engineering teams to strengthen the platform and reduce operational risk. * Ensure the platform can ...

Senior Credit Risk Analyst (ATH 5209)

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

As part of RRM, the Credit Allowance Forecasting and Analysis team is responsible for Credit Loss ... The role works closely with Retail Risk Management, Model Development & Model Validation, Model ...

Department Overview The retail model development group within risk is responsible for the creation of credit risk models on TD's consumer lending portfolios, including mortgage, home equity, auto ...

Showing results 41-60

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 67% Hybrid, and 33% Remote job distribution.

Senior Analyst (Hybrid)

NATIONAL BANK OF CANADA

Toronto, ON โ€ข Hybrid

Full-time

Medical, Retirement

Re-posted 2 days ago


Job description

Attendance
Hybrid
Job number
34064
Category
Intermediate Professional
Status: Temporary 6 months
Type of Contract
Temporary
Number of months
6 months
Schedule: Full-Time 
Full Time / Part Time?
Full-Time
Posting date
10-Jul-2026
Area(s) of interest: Risk management
Location(s): Toronto

As a Senior Analyst in the Credit Risk Analytics team at National Bank, youโ€™ll be responsible for the IFRS-9 reporting and analytics, as well as IFRS-9 and stress testing model development and performance monitoring. 

This role will also need to support other closely related risk functions that includes RWA, Economic Capital and stress testing. With your strong analytical skills, experience in credit risk modeling, and knowledge of IFRS-9 and regulatory requirements, youโ€™ll have a positive impact on NBCโ€™s credit risk management through building advanced models, efficient and robust risk processes and providing insightful analyses to our senior management.

Your job:

  • Develop and recalibrate IFRS-9 and stress testing models for the Bankโ€™s wholesale and retail portfolios. Document the data selection, modeling techniques and implementation.
  • Conduct model backtesting, monitor model performance and propose appropriate model actions when necessary.
  • Keep abreast of up-to-date modeling methodologies, tools and regulatory requirements.
  • Conduct IFRS-9 ECL impact assessment for parameter recalibration, economic scenario change, model updates, data migration and process changes.
  • Operate and maintain the IFRS-9 ECL reporting processes to produce timely and accurate ECL results.
  • Validate the process inputs and outputs for quality control and governance.
  • Provide in-depth analysis on IFRS-9 results and identify key drivers for ECL movements.
  • Prepare IFRS-9 ECL results, analysis and materials for IFRS-9 stakeholders, External Audit and regulators.
  • Review, identify and recommend process improvement opportunities for IFRS-9 ECL calculation engine.
  • Develop, manage and monitor IFRS-9 PCL budget and limit for the bank.
  • Collaborate with IFRS-9 stakeholders, including Economics, Finance, IT, Credit Risk Models, Model Validation Group, and Internal Audit.
  • Provide support for ad-hoc requests required by IFRS-9 stakeholders and senior management in a precise and efficient manner.
  • Develop and maintain the IFRS-9 related documentation. Review and evaluate the technical implementation and results.
  • Contribute to strategic risk initiatives by using analytical skills to project potential losses and make recommendations to limit risk.
  • Demonstrate insight into internal client's business and develop innovative solutions that create value.

Your Team: 

As part of the Credit Risk Analytics sector, youโ€™ll be on a team of 25 of colleagues and youโ€™ll report to the Senior Directeur. Our team stands out for expertise in model development, model implementation and risk reporting in IFRS-9, stress testing and capital areas. As some processes are part of the Bankโ€™s month-end or quarter-end reporting to the public or to the regulators, we may work under tight deadline and pressure sometimes. We offer a wide range of ongoing learning opportunities for your development, including coaching, hands-on learning, training courses and through the collaborating with colleagues who have varied expertise and profiles such as in-depth data analytics, model development, risk programming and presentation to senior management.

 Prerequisites:

  • Masters in a relevant field such as Financial Engineering, Finance, Statistics, Economics, Mathematics, Computer Science and Data Science.
  • Completion or progression in CFA and/or FRM would be an asset.
  • Completion of SAS certification would be an asset.
  • Professional experience in quantitative model development.
  • Hands-on experience in managing, reconciling, and interpreting large and complex enterprise level data sets.
  • Knowledge with IFRS-9 and regulatory requirements.
  • Hands-on experience with SAS, SQL, MS Excel (VBA) or Python.
  • Knowledge of AI and Machine Learning would be an asset.
  • Excellent analytical skills to identify the causes of risk changes and impact to business and strategy.
  • Ability to effectively communicate the analysis and explain the results in a simple and concise way.
  • Strong attention to details and the ability to understand the big picture.
  • Demonstrated ability to work under pressure and tight deadline.
  • Exceptional critical thinking skills, learning skills and ability to work independently with limited guidance.
Languages:
English
Skills

Press space or enter keys to toggle section visibility

Artificial Intelligence Auditing Communication Diversity & Inclusion Teamwork Cybersecurity Empathy Initiative Learning Agility Resiliency Stress Testing Capital Risk Risk Cross-team Collaboration
Your benefits
In addition to competitive compensation, youโ€™ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Group insurance
* Generous pension plan
* Employee and Family Assistance Program
* Preferential banking services
* Opportunities to get involved in community initiatives
* Telemedicine service
* Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.โ€ฏ

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employeesโ€™ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.

Making a bold move in a people-first environment
We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people.โ€ฏOur mission is to have a positive impact on people's lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.โ€ฏ

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!
<