Ubisoft

Security Specialist – Digital Fraud

Montreal, QC, Canada · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerUbisoft
LocationMontreal, QC, Canada
Work styleOn-site
Employment typeFull-time
Employer posted3 months ago

As a Security Specialist – Digital Fraud at Ubisoft Montréal, you will help protect our players and platforms by detecting, understanding, and reducing digital fraud across our ecosystem. Working with large-scale datasets and modern detection tools, you will partner with teams across Data, Engineering, Product, and Production to strengthen fraud prevention capabilities and respond to emerging threats. Your work will contribute directly to a secure and trusted player experience.

What you’ll do

Explore and interpret transactional and behavioral data to identify fraud patterns, anomalies, and emerging risks
Build and maintain dashboards and reports using tools such as Splunk, Azure Data Explorer, and Databricks to monitor fraud trends and key performance indicators
Investigate and respond to digital fraud threats, including credential stuffing, account takeover, fake account creation, marketplace abuse, and security bypass attempts
Design and deploy detection rules, alerts, and use cases within fraud monitoring platforms
Partner with Data, Engineering, and Product teams to improve fraud detection systems, risk engines, and workflows
Perform root cause analysis on fraud incidents and contribute to long-term prevention strategies
Identify gaps in detection capabilities and support continuous improvement of fraud prevention frameworks
Support fraud-related incident response and post-incident reviews
Share insights and recommendations with stakeholders as a trusted subject matter resource

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What you bring to the team

Experience in digital fraud, threat hunting, or fraud risk management
Hands-on experience with fraud detection systems, risk engines, or security information and event management platforms
Strong working knowledge of SQL and Python for data analysis, automation, and investigations
Experience working with large-scale datasets and turning analysis into actionable insights
Experience developing detection logic, scoring approaches, or model-driven rules
Solid understanding of common fraud and abuse patterns, such as account takeover and automated attacks
Strong problem-solving and analytical skills with attention to detail
Ability to explain complex findings clearly to both technical and non-technical audiences

What to send our way

Your CV highlighting relevant skills and experiences
Examples of projects, dashboards, investigations, or analytical work relevant to fraud or security

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