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Salary
≈ $85k – $138k per year (Estimated)
Location
Hybrid (Montreal, Canada)
Seniority
Architect · 6+ years exp
Employment
Full-Time

First seen by Alion on Oct 30, 2026.

Overview
Company
Impact
Profile match
Simplify your finances with our services including bank accounts, mortgages, credit cards, savings, and loans. Access your accounts with 24/7 online banking.

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.

Your job

  • 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
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!

Confidentialité, Structures de données, Visualisation de données, Conception de base de données, Diversité et inclusion, Python, Statistiques, Narration, Travail en équipe, Sens des affaires, Souci du détail, Initiative, Agilité d'apprentissage, Nettoyage des données, Pipeline de données, Analyse exploratoire des données

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