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Added 8 mins ago
Machine Learning Engineer - Early Career (Canada)
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Full-time
Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Added 8 mins ago
Machine Learning Engineer - Early Career (Canada)
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National Bank of Canada

Senior Data Scientist

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Posting language: English
Posted: Sep 25, 2026

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Original job description

A career as a Senior Data scientist, Team Lead, in the Governance and Credit quality team at National Bank means serving as a specialist in credit decision model validation. This position allows you to have a positive impact on the Bank's risk management thanks to your expertise in modelling, credit risk and quantitative methods. You contribute to the independent assessment of the models used for credit activities for Personal Banking and small and Medium-sized businesses. You also provide technical leadership to your colleagues and participate in strategic projects that influence the Bank's models, decision-making strategies and risk profile.

Your job

Carry out and oversee independent model risk assessments for credit
decision models intended for individuals and SMEs, by analysing their
methodological robustness, assumptions, limitations, and risks related to
their approval, implementation and use.

Monitor the performance of models in production by analysing
results, identifying gaps, drifts and emerging risks, and recommending the
actions required to maintain an acceptable level of risk.

Act as a reference in managing the model lifecycle, ensuring the
consistent application of regulatory requirements, internal policies and
model risk management standards.

Draft and review validation reports, conclusions and
recommendations, clearly communicating findings, issues, risks and impacts
on credit decisions and risk management.

Participate in strategic projects related to retail and SME credit
activities by assessing the impact of the proposed changes on the Bank's
models, decision-making strategies, credit processes and risk profile.

Act as a technical reference for the team and business partners,
contributing to the resolution of complex issues, supporting audits and
regulatory reviews, and promoting the continuous improvement of model risk
validation and management practises.

Your team

Governance and Credit quality, under Senior Vice-President – Credit Analytics and Integrated risk Management, brings together more than 35 specialists who collaborate to develop innovative solutions adapted to industry challenges. You are part of a team recognised for its diversity of expertise, rigour and ability to deliver quality results. Our goal is to offer you maximum flexibility to promote your quality of life, particularly through a flexible, hybrid work environment.

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 7 to 10 years
of relevant experience.

Excellent knowledge of quantitative methods, particularly
modelling and artificial intelligence techniques.

Proficiency in at least one of the following languages or
software: SAS, R or Python.

Extensive experience in credit risk and model validation

Solid knowledge of activities and products related to Personal
Banking and small and medium-sized businesses.

Experience in technical coordination, coaching or developing
colleagues in an analytical or validation environment.

Languages: French, English
Reason to require this language: you will need to collaborate with a regulator/authority/government body outside Quebec.
Required skills: Artificial Intelligence, Business Acumen, Communication, Data Structures, Data Visualization, Data-Driven Decision-Making, Detail-oriented, Diversity & Inclusion, Initiative, Learning Agility, Performance Analysis, Problem Solving, Resiliency, Statistics, Storytelling, 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

Lead independent validation and risk assessments of credit decision models for individuals and small and medium-sized businesses, including monitoring model performance and identifying emerging risks. Provide technical leadership, prepare validation reports and recommendations, and assess the effects of strategic changes on models, credit decisions, processes, and the Bank’s risk profile.

Requirements

A bachelor’s or master’s degree in a related field and 7 to 10 years of relevant experience are required, along with extensive credit risk and model validation experience. Candidates need strong quantitative and modeling expertise, proficiency in SAS, R, or Python, knowledge of Personal Banking and SME products, and experience coordinating, coaching, or developing colleagues.

Skills

Artificial Intelligence
Business Acumen
Communication
Data Structures
Data Visualization
Data-Driven Decision-Making
Attention to Detail
Diversity and Inclusion
Initiative
Learning Agility
Performance Analysis
Problem Solving
Resilience
Statistics
Storytelling
Teamwork

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
Flexible Hybrid Work Environment
Training and Development Programs
Coaching and Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk
Model Validation
Model Risk Management
Credit Decision Models
Quantitative Methods
Artificial Intelligence
Statistical Modeling
SAS
R
Python
Model Lifecycle
Model Performance Monitoring
Risk Assessment
Regulatory Requirements
Validation Reports
Personal Banking
Small and Medium-Sized Businesses
Credit Analytics
Risk Management
Data Visualization
Performance Analysis
Technical Leadership
Coaching
Audits
Regulatory Reviews

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