IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 20, 2026

Hiring at a glance

View jobs

Open jobs: 2,633
Employers: 1,271

Advertised starting pay

Average starting payCAD / year: $98,109Across 246 listings
Average starting payCAD / hour: $48.86Across 82 listings
Average starting payUSD / year: $118,463Across 56 listings
Average starting payUSD / hour: $57.29Across 11 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%125 listings
Hybrid: 39%1,023 listings
On-site: 56%1,465 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (76), Royal Bank of Canada (56), TD (46).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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National Bank of Canada

Senior Data Scientist Model Developement and Validation

Richmond Hill, ON, Canada

Job type: Full-time
Apply by: Oct 19, 2026
Experience: Minimum 2-3 years of professional experience in quantitative model development or validation for retail or wholesale credit risk.
Posting language: English
Posted: Sep 19, 2026

Apply About employer

Applications open in a new tab.

Original job description

As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well as IFRS 9 reporting and analytics. This role will also need to support other closely related risk functions that includes RWA, Economic Capital and stress testing. With your experience in credit risk modeling, strong analytical skills, and knowledge of IFRS 9 and regulatory requirements, you’ll have a positive impact on NBC’s credit risk management through building advanced models, efficient and robust risk processes and providing insightful analyses to our senior management.

Your role:

Develop and recalibrate IFRS 9 and stress testing models for the Bank’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.

Work with IFRS 9 production team to implement and test IFRS 9 model changes.

Validate the process inputs and outputs for quality control and governance.

Collaborate with Model Validation, Model Governance, Audit by preparing supporting materials, addressing questions and concerns, and ensuring IFRS 9 model changes are appropriately documented and understood.

Provide in-depth analysis on IFRS 9 results and identify key drivers for ECL movements.

Provide support for ad-hoc requests required by IFRS 9 stakeholders and senior management in a precise and efficient manner.

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, you’ll be on a team of 24 of colleagues and you’ll report to the Senior Director – Analytics. 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 Bank’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 or PhDs in a relevant field such as Financial Engineering, Finance, Economics, Statistics, Mathematics, Computer Science and Data Science.

Minimum 2-3 years of professional experience in quantitative model development or validation for retail or wholesale credit risk.

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, Python, MS Excel (VBA) or SQL.

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.

Completion or progression in CFA and/or FRM would be an asset.

Completion of SAS certification would be an asset.

Completion of SAS certification would be an asset.

Languages: English
Required skills: Analytical thinking, Artificial Intelligence, Business Acumen, Communication, Data pipeline, Data-Driven Decision-Making, Detail-oriented, Exploratory Data Analysis, Initiative, Learning Agility, Prioritization, Python, Resiliency, Self-Sufficiency, Teamwork

Your benefits
In addition to competitive compensation, upon hiring you’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
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement 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.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are 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. Our 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.

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!

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will develop and recalibrate IFRS 9 and stress testing models for wholesale and retail portfolios while monitoring model performance. They will also collaborate with internal stakeholders to ensure robust risk processes and provide insightful analyses for senior management.

Requirements

Candidates must hold a Master's or PhD in a quantitative field and possess at least 2-3 years of professional experience in credit risk modeling. Proficiency in SAS, Python, or SQL, along with a strong understanding of IFRS 9 and regulatory requirements, is essential.

Skills

Credit risk modeling
IFRS 9
Stress testing
SAS
Python
SQL
VBA
Analytical thinking
Data analysis
Risk management
Communication
Critical thinking
Data-driven decision-making
Detail-oriented
Financial engineering
Statistics

Benefits

Health and wellness program
Flexible group insurance
Generous pension plan
Employee Share Ownership Plan
Employee and family assistance program
Preferential banking services
Involvement in community initiatives
Telemedicine service
Virtual sleep clinic

Visa sponsorship

Not detected in the job text

Keywords

IFRS 9
Credit Risk
Stress Testing
Data Science
SAS
Python
SQL
VBA
Financial Engineering
Statistics
Mathematics
Economics
Risk Management
RWA
Economic Capital
Model Development
Model Validation
Backtesting
ECL
CFA
FRM
Data Analytics
Wholesale Portfolio
Retail Portfolio
Regulatory Requirements

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