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National Bank of Canada

Senior Data Scientist Implementation and Codification

Richmond Hill, ON, Canada

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

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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.

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.

Implement IFRS 9 model changes in the ECL calculation process, including updating, testing and maintaining the IFRS 9 ECL calculation engine.

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

Review, identify and recommend process improvement opportunities for IFRS 9 ECL calculation engine.

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

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

Develop, manage and monitor IFRS 9 PCL budget and limit for the bank.

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. 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.

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

Completion of SAS certification would be an asset.

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.

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.

Languages: English
Required skills: Artificial Intelligence, Data pipeline, Data Structures, Data-Driven Decision-Making, Detail-oriented, Exploratory Data Analysis, Initiative, Problem Solving, Python, Resiliency, Statistical Analysis System Programming Language, Statistics, 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

Develop, recalibrate, and monitor IFRS 9 and stress testing models for the bank's wholesale and retail portfolios. Collaborate with cross-functional teams to ensure model governance, regulatory compliance, and provide insightful analysis for senior management.

Requirements

Requires a Master's or PhD in a quantitative field and 2-3 years of professional experience in credit risk modeling. Candidates must possess hands-on experience with SAS, Python, or SQL and have a strong understanding of IFRS 9 regulatory requirements.

Skills

Credit risk modeling
IFRS 9
SAS
Python
SQL
VBA
Data analysis
Stress testing
Risk management
Artificial intelligence
Machine learning
Data structures
Data pipeline
Statistical analysis
Problem solving
Teamwork

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

IFRS 9
Credit Risk
Stress Testing
SAS
Python
SQL
VBA
Financial Engineering
Statistics
Data Science
Machine Learning
Artificial Intelligence
ECL
RWA
Economic Capital
Model Development
Model Validation
Risk Reporting
Data Migration
Regulatory Requirements
Wholesale Banking
Retail Banking
CFA
FRM
Data Analysis
Governance
Risk Management
Financial Modeling
Quantitative Analysis
Budgeting

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