04 Nov
|
National Bank of Canada
|
Montreal
04 Nov
National Bank of Canada
Montreal
Attendance
Hybrid
Job number
36220
Category
Senior Professional
Status: Permanent
Type of Contract
Permanent
Schedule: Full-Time
Full Time / Part Time?
Full-Time
Posting date
03-Nov-2026
Area(s) of interest: Business intelligence and data
Location(s): Montreal
A career as a Senior Data Scientist within the Credit Risk and Climate Stress Testing team at National Bank means contributing to the development of quantitative models and conducting stress tests to assess the impact of various economic and climate scenarios on the Bank. This role allows you to make a positive impact on our organization by leveraging your expertise in modelling, programming, and complex data analysis.
Your role
- Participate in stress-testing exercises and regulatory analyses aimed at assessing the impact of various economic scenarios on the Bank’s credit portfolio.
- Develop and enhance quantitative models and stress-testing methodologies to improve their efficiency and accuracy.
- Optimize and automate existing processes to reduce manual intervention and accelerate the delivery of analyses.
- Collaborate with Economists, Finance, and Capital teams to analyze results and contribute to the Bank’s financial projections.
- Analyze, simplify, and present stress-testing results, with opportunities to progressively contribute to presentations for senior management and regulatory authorities.
- Contribute to the development of climate scenario analyses, particularly with respect to physical and transition risks.
Your team
Within the Credit Analytics and Integrated Risk Management sector, which brings together 140 colleagues, you will be part of a five-person team and report to the Senior Manager, Stress Testing. Our team stands out for the diversity of its expertise in economics, applied mathematics, and quantitative modelling.
You will work in an environment where you can contribute to improving models and optimizing processes, while benefiting from the expertise of experienced colleagues to further develop your skills.
You will enjoy a hybrid work environment, with an expectation of being in the office 40% of the time, particularly on team collaboration days.
The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through hands-on experience, allow you to strengthen your expertise and develop new areas of specialization. Resources such as the Data Academy, language training, Harvard Learning Center, as well as coaching and mentoring support, are available to you at all times.
Requirements
- Bachelor’s degree and five years of relevant experience, or a master’s degree and three years of relevant experience in mathematics, statistics, economics, finance, financial engineering, econometrics, or a related field.
- Strong knowledge of quantitative modelling, acquired through academic studies or professional experience.
- Demonstrated programming skills, particularly with SAS, SQL, Python, or other programming and automation languages.
- Strong analytical skills, attention to detail, and autonomy, combined with initiative and the ability to manage priorities under tight deadlines.
- Excellent communication skills and the ability to explain complex technical concepts clearly, as well as the ability to collaborate effectively with various stakeholders.
- Knowledge of credit risk modelling, stress testing, IFRS 9 standards, or risk-weighted assets (RWA) is considered an asset.
Languages:
French
Reason to require this language: you will need to collaborate with a regulator/authority/government body outside Quebec.
Skills
Artificial Intelligence Banking Communication Credit Risk Data Analysis Data Structures Data Visualization Finance Mathematics Problem Solving Process Optimization Python Statistics Business Acumen Data-Driven Decision-Making
Your benefits
In addition to competitive compensation,
upon hiring you’ll be eligible for a wide range of flexible perks 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 setting 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!
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?
Discover our culture
Duration: 1 min 25 sec
📌 Senior Data Scientist (Montreal)
🏢 National Bank of Canada
📍 Montreal