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Added 2 mins ago
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Proficiency in Python, R, SQL or SAS for statistical analysis and modelling.
Added 1 hour ago
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Added 1 hour ago
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Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 1 hour ago
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Senior Manager, First Party Fraud Analytics - Onboarding
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Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 1 hour ago
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Senior Manager, First Party Fraud Analytics - Cards
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Toronto, ON · FCP
- Full-time
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 1 hour ago
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Senior Manager, First Party Fraud Analytics - Business Banking
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Toronto, ON · FCP
- Full-time
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 1 hour ago
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Senior Full Stack Developer (.Net Technology Stack)
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- Full-time
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Added 2 hours ago
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Senior Software Engineer
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Added 3 hours ago
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Lead IBP Supply
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Added 3 hours ago
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Added 4 hours ago
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Added 4 hours ago
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Senior Quality Assurance Automation Engineer
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Added 4 hours ago
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Senior Data Engineer
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- Full-time
…development and testing, data warehousing, and working with SQL, NoSQL, Python, Spark, and Scala. Your background includes technologies such as SSIS, AWS Glue, cloud storage and computing…
Added 4 hours ago
UT
Sr Python Engineer #26-21269
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- $100 to $105 CAD / hour
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Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python…

National Bank of Canada

Senior Data Scientist

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

A career as a Senior Data scientist or Senior Data scientist in the modelling and risk strategies team at National Bank means acting as a specialist in credit risk management decision-making strategies. This position allows you to have a positive impact on our organisation thanks to your expertise in statistical modelling, machine learning and behavioural data analysis.

Your job

Develop statistical models and decision-making strategies for loans to individuals and small and medium-sized businesses in order to optimise credit risk and profitability.
Analyze behavioural data and translate the results into concrete recommendations that support business line growth objectives.
Assess the performance of models and strategies in place, particularly based on a Champion-Challenger approach, then recommend the adjustments required.
Document strategies and prepare the elements needed for their review and approval.
Coordinate the implementation of strategies with it partners and carry out acceptance tests.
Communicate the progress of work in agile mode and collaborate with risk management teams and business lines.

Your team

In the risk modelling and strategies sector, you are part of a team of 12 advanced analytics specialists and report to the Senior Manager – risk models and strategies. The team is responsible for modelling activities and risk strategies for credit cards, personal financing and small and medium-sized businesses, from credit origination to life cycle management. It stands out for its collaboration, analytical rigour and proximity to business partners.

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

A bachelor's or master's degree in a quantitative field and two to three years of experience in modelling, decision-making strategies, data science or a related function.
Experience in developing statistical, econometric or machine learning models
Be familiar with personal and commercial credit products and credit risk management principles.
Proficiency in Python, R, SQL or SAS for statistical analysis and modelling.
Know how to assess the performance of models and decision-making strategies based on business data.

Languages: French, English
Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than French.
Required skills: Artificial Intelligence, Business Acumen, Communication, Data Structures, Data Visualization, Data-Driven Decision-Making, Detail-oriented, Diversity & Inclusion, Exploratory Data Analysis, Initiative, Learning Agility, Problem Solving, Resiliency, 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 statistical models and credit decision strategies for individual and small-business lending, analyze behavioral data, and recommend actions that support growth while managing risk and profitability. Evaluate model and strategy performance using a Champion-Challenger approach, document recommendations for approval, coordinate implementation and acceptance testing, and communicate progress with risk and business teams.

Requirements

A bachelor's or master's degree in a quantitative field and two to three years of experience in modelling, decision strategies, data science, or a related role are required. Candidates should have experience developing statistical, econometric, or machine-learning models; knowledge of credit products and risk management; proficiency in Python, R, SQL, or SAS; and the ability to assess model and strategy performance using business data.

Skills

Artificial Intelligence
Business Acumen
Communication
Data Structures
Data Visualization
Data-Driven Decision-Making
Attention To Detail
Diversity And Inclusion
Exploratory Data Analysis
Initiative
Learning Agility
Problem Solving
Resilience
Statistics
Teamwork
Machine Learning

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
Hybrid Work Environment
Flexible Schedule
Training And Development
Coaching And Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk Management
Credit Decision Strategies
Statistical Modelling
Econometric Models
Machine Learning
Behavioural Data Analysis
Champion-Challenger Approach
Model Performance Assessment
Strategy Performance Assessment
Credit Cards
Personal Financing
Small And Medium-Sized Businesses
Credit Origination
Lifecycle Management
Python
R
SQL
SAS
Statistical Analysis
Exploratory Data Analysis
Data Visualization
Data Structures
Artificial Intelligence
Agile
Acceptance Testing
Risk Modelling
Business Recommendations

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