Company Description
Ubisoft is a global leader in video games, with teams spread across the four corners of the world who create original and memorable gaming experiences, from Assassin’s Creed to Rainbow Six, including Just Dance and many more. We believe that diversity of perspectives drives progress for both players and teams. If you are passionate about innovation and want to push the boundaries of entertainment, join our adventure and help us create the unknown!
Job Description
As a Security Specialist – Digital Fraud at Ubisoft Montréal, you will help protect our players and our platforms by detecting, understanding and reducing large-scale digital fraud. Working with the Data, Engineering, Product and Production teams, you will strengthen fraud prevention capabilities and help respond to emerging threats to ensure a secure and reliable gaming experience.
What you will do
- Explore and interpret transactional and behavioral data to identify fraud patterns and anomalies
- Design and maintain dashboards and reports using tools such as Splunk, Azure Data Explorer and Databricks to track trends and key indicators
- Investigate digital fraud threats, including credential stuffing, account takeover, fake account creation and marketplace abuse
- Design and deploy detection rules, alerts and use cases in monitoring platforms
- Collaborate with the Data, Engineering and Product teams to improve detection systems, risk engines and operational processes
- Conduct root cause analyses following fraud incidents and contribute to long-term prevention strategies
- Identify gaps in detection capabilities and support the continuous improvement of prevention frameworks
- Support fraud incident management and post-incident analyses
- Provide clear recommendations and analyses to stakeholders as a point of contact
Qualifications
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 proficiency in SQL and Python for data analysis and automation
- Experience with large-scale datasets and turning analyses into concrete actions
- Experience creating detection logic, scoring mechanisms or pattern-based rules
- Understanding of common fraud vectors, such as account takeover and automated attacks
- Strong analytical and problem-solving skills, with attention to detail
- Ability to communicate complex findings to technical and non-technical audiences
Additional Information
What to send us
- Your resume highlighting your relevant skills and experience
- Examples of projects, analyses, dashboards or investigations related to fraud or security