Senior Data Scientist, Credit Risk

Banque Nationale du Canada; Richmond Hill; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Health and wellness program

Employee Share Ownership Plan

Employee and family assistance program

Preferential banking services

Involvement in community initiatives

Virtual sleep clinic

Job summary

Banque Nationale du Canada in Richmond Hill, Ontario, seeks a Senior Data Scientist to lead hands‑on credit risk modelling and economic capital analytics within the Credit Risk Analytics team. You’ll drive EC and ICAAP improvements, model development, and risk reporting, leveraging AI to enhance efficiency and insights.

Based in a hybrid work environment, you’ll collaborate with Finance, IT, and risk teams, support IFRS 9 and stress testing, and present analyses to senior management and

Qualifications

• Hold a master's degree in a relevant field such as data science, financial engineering, statistics, mathematics, economics, computer science, or a related discipline.
• Have 3 to 5 years of experience in risk management, credit risk analytics, risk modelling, risk reporting, or a related quantitative discipline within a financial institution.
• Demonstrate strong programming capabilities using tools such as Python, SQL, SAS, or other analytical programming languages.
• Demonstrate ability to effectively and efficiently use AI tools to support quantitative modelling, risk analysis and reporting.
• Possess advanced quantitative and statistical modelling expertise, with experience developing, validating, or supporting risk models.
• Have experience working with economic capital models, stress testing, credit risk measurement frameworks, or related risk analytics methodologies.
• Knowledge of Moody’s RiskFrontier platform or similar credit portfolio risk management solutions is considered an asset.

Responsibilities

• Develop and enhance Credit Economic Capital (EC) and ICAAP processes to support new product launch, new portfolio integration, data migration, and internal and external reporting requirement.
• Develop and enhance EC, ICAAP, and concentration risk models.
• Modernize EC, ICAAP, and other risk reporting processes with effective use of AI tools, improving efficiency, automation, and analytical capabilities.
• Manage and execute EC and ICAAP production and reporting processes to support monthly and quarterly risk measurement activities.
• Perform in-depth analysis of capital results, identify key drivers of capital movements, and prepare clear and insightful materials for senior management, internal stakeholders, and regulators.
• Support model development, implementation, and back-testing across other credit risk areas, including IFRS 9 and stress testing.
• Collaborate with Finance, IT, Business, AIRB Model Development, Model Validation, and Internal Audit to support model development initiatives and analytical projects.

Skills

Credit risk modelling

Economic Capital

AI tools

Python

SQL

Statistical analysis

Risk reporting

IFRS 9

Back-testing

Stakeholder communication

Education

Master's degree (data science / financial engineering / statistics / economics / CS)

Tools

Moody's RiskFrontier

Job description

Area(s) of interest: Risk management, Business intelligence and data

A career as a Senior Data Scientist, Model Development and Risk Production in the Credit Risk Analytics team at National Bank means acting as a hands‑on subject matter expert in credit risk modelling and economic capital (EC) analytics. This role allows you to have a positive impact on the organization through your expertise in quantitative modelling, risk measurement, economic capital estimation, AI and advanced data analysis.

Your role

• Develop and enhance Credit Economic Capital (EC) and ICAAP processes to support new product launch, new portfolio integration, data migration, and internal and external reporting requirement.
• Develop and enhance EC, ICAAP, and concentration risk models.
• Modernize EC, ICAAP, and other risk reporting processes with effective use of AI tools, improving efficiency, automation, and analytical capabilities.
• Manage and execute EC and ICAAP production and reporting processes to support monthly and quarterly risk measurement activities.
• Perform in-depth analysis of capital results, identify key drivers of capital movements, and prepare clear and insightful materials for senior management, internal stakeholders, and regulators.
• Support model development, implementation, and back-testing across other credit risk areas, including IFRS 9 and stress testing.
• Collaborate with Finance, IT, Business, AIRB Model Development, Model Validation, and Internal Audit to support model development initiatives and analytical projects.

Your team

The Risk Management team brings together highly specialized professionals who work collaboratively to strengthen the Bank’s risk management practices and analytical capabilities.

Within the Credit Risk Analytics group with 26 colleagues, you will be part of a specialized EC team and report to the Senior Director, Credit Risk Analytics. Based in Richmond Hill, Ontario, the group are responsible for model development, model implementation, and risk reporting across Capital, IFRS‑9 and stress testing. The team stands out for its deep quantitative expertise, collaborative approach, and commitment to continuously improving risk measurement methodologies.

We aim to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are always available to you.

Requirements

• Hold a master's degree in a relevant field such as data science, financial engineering, statistics, mathematics, economics, computer science, or a related discipline.
• Have 3 to 5 years of experience in risk management, credit risk analytics, risk modelling, risk reporting, or a related quantitative discipline within a financial institution.
• Demonstrate strong programming capabilities using tools such as Python, SQL, SAS, or other analytical programming languages.
• Demonstrate ability to effectively and efficiently use AI tools to support quantitative modelling, risk analysis and reporting .
• Possess advanced quantitative and statistical modelling expertise, with experience developing, validating, or supporting risk models.
• Have experience working with economic capital models, stress testing, credit risk measurement frameworks, or related risk analytics methodologies.
• Knowledge of Moody’s RiskFrontier platform or similar credit portfolio risk management solutions is considered an asset.

Mandatory languages

French is considered an asset.

• Ability to learn quickly in a dynamic and evolving environment.
• Adaptability and flexibility when responding to changing priorities and urgent business needs.
• Strong analytical thinking and problem-solving skills.
• Ability to manage multiple priorities while maintaining a high level of accuracy.
• Collaborative mindset and willingness to contribute across teams.
• Curiosity and openness to leveraging new technologies, including artificial intelligence tools, to improve efficiency.

Languages:

Skills

Analytical Skills Artificial Intelligence Banking Communication Credit Risk Data Structures Data Visualization Diversity & Inclusion Economic Capital Performance Analysis Problem Solving Python Quantitative Analytics Quantitative Research Statistics

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
• Employee Share Ownership Plan
• Employee and family assistance program
• Preferential banking services
• Involvement in community initiatives
• 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?

Why work at National Bank?

For an environment that supports your career path

There are many varied opportunities for you to progress and develop, and move ahead in your career. This includes on-the-job learning and training, co-development and pairing with other employees, professional support and mentoring, internal career days or discussion forums with our leaders.

For an inclusive and diverse environment

We foster inclusion in an environment where each person’s unique qualities, whether visible or invisible, are celebrated and valued. We welcome all candidates! What can you bring to our team?