Chief Data Analyst

National Bank of Canada; Montreal; Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Health and wellness program

Flexible group insurance

Generous pension plan

Employee Share Ownership Plan

Employee and family assistance program

Preferential banking services

Community involvement

Telemedicine service

Virtual sleep clinic

Job summary

National Bank of Canada is seeking a data analytics professional focused on fraud risk management in Montreal. You will analyze complex data, build and tune fraud prevention models, and support teams with data-driven recommendations to reduce losses.

You will join a five-person team within the financial crime sector, reporting to the Analytics Manager – Fraud risk Management. The role emphasizes a hybrid work environment, flexible schedules, and internal mobility with data-driven training

Qualifications

• Bachelor’s degree with 6 years of relevant experience OR Master’s degree with 4 years of relevant experience.
• Experience in fighting financial crime.
• Mastery of data modelling and visualization techniques (SAS, SQL, Python, PowerBI)
• Client-centric approach and solutions

Responsibilities

• Conduct complex analyses and interpret data to provide insights that support decision-making in fraud risk management activities
• Develop, optimize and monitor fraud prevention models and strategies
• Support operational fraud prevention teams with data-driven recommendations
• Contribute to defining the strategic direction of the Risk Management sector
• Make recommendations to reduce fraud losses and measure their impact
• Participate in committees or special projects requiring a high level of expertise, and represent the Bank with various organizations, stakeholders, or authorities to ensure fraud risk management needs are proactively addressed

Skills

Business Acumen

Confidentiality

Data Cleansing

Data pipeline

Data Structures

Data Visualization

Database Design

Detail-oriented

Diversity & Inclusion

Exploratory Data Analysis

Initiative

Learning Agility

Python

Statistics

Storytelling

Teamwork

Education

Bachelor’s degree

Master’s degree

Tools

SAS

SQL

Python

PowerBI

Job description

A career in data analysis, particularly in fraud risk management, gives you the opportunity to combine your passion for analytics with a meaningful impact on the banking industry.

You’ll be part of a team that leverages big data and advanced modeling to protect the Bank and its clients. By joining a group of passionate professionals, you’ll help shape the future of fraud prevention through data-driven strategies and insights.

• Conduct complex analyses and interpret data to provide insights that support decision-making in fraud risk management activities
• Develop, optimize and monitor fraud prevention models and strategies
• Support operational fraud prevention teams with data-driven recommendations
• Contribute to defining the strategic direction of the Risk Management sector
• Make recommendations to reduce fraud losses and measure their impact
• Participate in committees or special projects requiring a high level of expertise, and represent the Bank with various organizations, stakeholders, or authorities to ensure fraud risk management needs are proactively addressed

Your team

You will be part of a team of 5 colleagues in the financial crime sector and will report to the Analytics Manager – Fraud risk Management. Our team stands out for its strong analytical capacity and its key role in preventing risks for the Bank. Our goal is to offer you maximum flexibility to promote your quality of life, particularly through a hybrid work environment and flexible work schedules.

The Bank values continuous development and internal mobility. Our personalized training programs, based on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites

• Bachelor’s degree and 6 years of relevant experience OR Master's degree and 4 years of relevant experience
• Experience in fighting financial crime
• Mastery of data modelling and visualization techniques (SAS, SQL, Python, PowerBI)
• Client-centric approach and solutions

Languages: French

Required skills: Business Acumen, Confidentiality, Data Cleansing, Data pipeline, Data Structures, Data Visualization, Database Design, Detail-oriented, Diversity & Inclusion, Exploratory Data Analysis, Initiative, Learning Agility, Python, Statistics, Storytelling, Teamwork

Your benefits

• 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!