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National Bank of Canada

Senior Data Scientist Model Developement and Validation

Richmond Hill, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 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: Oct 20, 2026

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!

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More about this job

Responsibilities

Develop, recalibrate, document, and monitor IFRS 9 and stress-testing models for wholesale and retail credit portfolios, including backtesting, impact assessments, and quality controls. Analyze expected credit loss results and drivers, support model implementation and governance, and provide risk insights and recommendations to stakeholders and senior management.

Requirements

A master's or PhD in a relevant quantitative or financial field and at least 2–3 years of experience in quantitative credit risk model development or validation are required. Candidates should have experience with complex datasets, IFRS 9 and regulatory requirements, and tools such as SAS, Python, Excel/VBA, or SQL, along with strong analytical and communication skills.

Skills

Analytical Thinking
Artificial Intelligence
Business Acumen
Communication
Data Pipelines
Data-Driven Decision-Making
Attention to Detail
Exploratory Data Analysis
Initiative
Learning Agility
Prioritization
Python
Resilience
Self-Sufficiency
Teamwork
Credit Risk Modeling

Benefits

Health and Wellness Program
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee and Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Service
Virtual Sleep Clinic

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk
IFRS 9
Expected Credit Loss
Stress Testing
Model Development
Model Validation
Model Recalibration
Model Backtesting
Model Performance Monitoring
Wholesale Portfolios
Retail Portfolios
Risk Analytics
Regulatory Requirements
Risk-Weighted Assets
Economic Capital
Data Quality Control
Data Migration
SAS
Python
Microsoft Excel
VBA
SQL
Data Analysis
CFA
FRM
SAS Certification
Financial Engineering
Risk Reporting

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