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Senior Data Scientist
National Bank of Canada · MONTREAL, QC · Today
Part-time
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Attendance Hybrid Job number 33971 Category Senior Professional Status: Permanent Type of Contract Permanent Schedule: Full-Time Full Time / Part Time? Full-Time Posting date 09-Jul-2026 Area(s) of interest: Risk management, Business intelligence and data Location(s): Montreal A career as a Senior Data Scientist in the Compliance team at National Bank means acting as a regulatory risk modelling specialist. This job allows you to have a positive impact on our organisation thanks to your expertise in data science, analytical skills and mastery of visualisation and programming tools.
Your job
Your team
You are part of a multidisciplinary team of 11 colleagues with a wide range of expertise, including 3 other Senior Data Scientists. Our team stands out for its innovation, agility and in-depth understanding of data from Wealth Management and Personal Banking. Our goal is 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 personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
* 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!
Your job
- Develop analytical models to support regulatory oversight of investments in the wealth Management and Personal Banking sectors
- Implement performance indicators (KPIs) and risk indicators (KRI) for senior management and business lines
- Design interactive dashboards and self-service analysis tools in a dynamic environment
- Help optimise data environments to promote business intelligence and advanced analytics
- Produce risk reports for complex financial products across several business lines
- Actively participate in committees and projects requiring a high level of data and compliance expertise.
Your team
You are part of a multidisciplinary team of 11 colleagues with a wide range of expertise, including 3 other Senior Data Scientists. Our team stands out for its innovation, agility and in-depth understanding of data from Wealth Management and Personal Banking. Our goal is 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 personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- Bachelor's or master's degree in a related field and 4 to 6 years of relevant experience
- Modelling and programming expertise (SAS, SAS Viya, SQL, PowerBI)
- Excellent analytical and synthesis skills.
Skills
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Artificial Intelligence Banking Communication Data Modeling Data Science Data Structures Data Visualization Performance Analysis Predictive Modeling Python Storytelling Teamwork Business Acumen Data-Driven Decision-Making Detail-oriented 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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