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Added 1 min ago
Senior Data Engineer - Vancouver
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Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big data systems
Added 1 min ago
Senior Data Engineer
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…ingest patterns in Azure Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big data…
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Added 1 min ago
RB
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- $80,000 to $110,000 CAD / year
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Strong proficiency in data analysis tools such as Excel, SQL, or Python.
Added 1 min ago
S
Data Analyst
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Calgary, AB
- $80,000 to $110,000 CAD / year
- Full-time
Strong proficiency in data analysis tools (e.g., SQL, Excel, Python, R).
Added 1 min ago
BF
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- $80,000 to $120,000 CAD / year
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…presence by writing, debugging, and reviewing production Python, SQL, and dbt models (on BigQuery, Databricks, or Snowflake), while utilizing AI coding agents to accelerate delivery with…
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Added 15 mins ago
Senior Manager, Analytics Engineering
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Added 15 mins ago
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Sr. Specialist, Custom Client Analytics
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Added 16 mins ago
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Denodo and Data Analytics
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Strong SQL, data integration, and query optimization skills.
Added 16 mins ago
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Software Developer - ETL / Power BI - Intermediate
isgSearch
Toronto, ON · Greater Toronto Area, Canada
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Seeking an experienced Software Developer - ETL / Power BI to support enterprise data integration, ETL processes, and business intelligence initiatives. The successful candidate will…
Added 16 mins ago
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Added 16 mins ago
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Added 16 mins ago
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Added 16 mins ago
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Added 31 mins ago
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Knowledge of server computer technologies and relational database architectures (i.e. Windows Server, SQL Server, VMware)
Added 45 mins ago
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Specialist, Automation Systems
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ON · Ontario, Canada
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Technical skills including familiarity with Linux, Java, XML, SQL, and database administration.
Added 45 mins ago
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Senior Azure Cloud Platform Engineer -- KUMDC6125986
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Added 45 mins ago
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CI
Senior Azure Cloud Platform Engineer -- KUMDC6125986
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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 4, 2026
Experience: Bachelor’s degree or master degree and 4 to 6 years of relevant experience
Posting language: English
Posted: Nov 4, 2026

Original job description

Description

A career as a senior data scientist within the Financial Crime team at National Bank means contributing to the evolution of analytical capabilities and fraud risk management strategies through advanced expertise in data science. This role gives you the opportunity to make a tangible impact on the prevention and detection of banking fraud by developing models, analytical approaches and innovative solutions that support decision-making and reduce financial losses.

Your role

Develop, maintain and optimize statistical and machine learning models aimed at improving fraud prevention and detection.
Conduct complex analyses and interpret data to identify emerging trends and risks, and support decision-making in fraud risk management.
Develop and optimize fraud prevention and detection strategies, and recommend analytical approaches to improve their effectiveness.
Collaborate with operational teams and various partners to deliver high-impact analytics and modelling initiatives and address their business needs.
Contribute to the sector’s strategic direction by anticipating evolving fraud risks and proposing new approaches to mitigate them.
Ensure compliance with standards related to model development, monitoring and documentation, and contribute to projects or initiatives requiring advanced data science expertise.

Your team

Within the Financial Crime sector, you’ll be part of a team of four colleagues and report to the Senior Manager, Analytics – Fraud Risk Management. Our team stands out for its strong analytical capabilities and key role in preventing risks to the Bank. We aim to offer you maximum flexibility to support your quality of life, including a hybrid work model and flexible schedules.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through experience, help you master your role and develop new areas of expertise. 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.

Prerequisites

Bachelor’s degree or master degree and 4 to 6 years of relevant experience
Experience in financial crime prevention or fraud risk management.
Proficiency in data modelling and visualization techniques (SAS, SQL, Python and Power BI).
Strong analytical and problem-solving skills.

Languages: 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, Performance Analysis, 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, maintain, and optimize statistical and machine learning models and analytical strategies to prevent and detect banking fraud. Analyze data to identify trends and risks, collaborate with operational partners, support fraud risk decisions, and ensure model standards, monitoring, and documentation.

Requirements

A bachelor's or master's degree and 4 to 6 years of relevant experience are required, including experience in financial crime prevention or fraud risk management. Candidates should be proficient in data modeling and visualization using SAS, SQL, Python, and Power BI, have strong analytical and problem-solving skills, and know French.

Skills

Artificial Intelligence
Business Acumen
Communication
Data Structures
Data Visualization
Data-Driven Decision-Making
Exploratory Data Analysis
Initiative
Learning Agility
Performance Analysis
Problem Solving
Resiliency
Statistics
Teamwork
SAS
SQL

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 Work Schedule
Hybrid Work Model
Training and Development
Coaching and Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Financial Crime
Fraud Risk Management
Banking Fraud
Fraud Prevention
Fraud Detection
Data Science
Statistical Modeling
Machine Learning
Data Modeling
Data Visualization
SAS
SQL
Python
Power BI
Exploratory Data Analysis
Statistics
Performance Analysis
Risk Management
Model Development
Model Monitoring
Model Documentation
Decision-Making
Analytical Strategies
French
Business Acumen

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