Job Description:
As a key member of the Game Security team on Rainbow Six Siege, the Player Protection and Game Security Data Specialist plays a vital role in defending the integrity of the player experience. It is specifically focused on player protection, using data to identify and mitigate threats that compromise fairness, safety, and trust in the game.
The analyst will contribute to protecting:
- Competitive integrity, including botting, boosting, smurfing, and Elo manipulation.
- Monetization fairness, such as marketplace abuse and item exploitation.
- Account integrity, including account theft, selling, and unauthorized access.
The Data Specialist will be the owner of the knowledge and strategies used to tackle competitive integrity threats at the game level, ensuring that insights and actions are aligned with the mission to protect players and preserve a fair environment. For monetization fairness and account integrity, the person will leverage transversal expertise and data to understand and propose how to reinforce the existing strategies.
Responsibilities:
- Cross-Team Collaboration: Work with teams such as UDO, Online Services, SRM, CRC and Game Security to enhance detection and response capabilities. Connect data across systems to trace the full lifecycle of abuse, from detection to sanction to appeal.
- Player Protection KPIs and Monitoring: Define and maintain metrics that reflect the health of the player protection ecosystem. Develop real-time visualizations to monitor abuse trends, system effectiveness, and threat actor behaviors.
- Tooling & Visualization: Build dashboards that surface actionable insights for internal stakeholders. Support executive decision-making by translating complex threats into clear strategic implications for the game.
- Abuse Intelligence & Analysis: Investigate abuse patterns across competitive, monetization, and account-related domains. Use data from multiple ecosystems to uncover emerging threats and assess their impact on players.
- Innovation & Research: Stay current with industry trends in anomaly detection, behavioral analytics, and game data science. Propose new approaches and technologies to strengthen player protection strategies.
Qualifications:
- Bachelor’s or master’s degree in Data science or analysis, Computer Science, Statistics, or a related field.
- 3+ years of experience in data analysis, ideally in gaming, fraud detection, or cybersecurity.
- Proficiency in Python, SQL, and data visualization tools.
- Experience with machine learning and anomaly detection is a strong asset.
- Familiarity with game telemetry, matchmaking systems, or player behavior analytics is a plus.
Skills & Attributes:
- Strong analytical and problem-solving abilities
- Genuine interest in player protection and game security
- Autonomous, proactive, and results-driven
- Excellent communicator with the ability to turn complex data into actionable insights
- Curious, pragmatic, and adaptable to fast-evolving challenges
- Collaborative team player with a security-first mindset
Fluency in English is required for effective communication with our colleagues and partners around the world who do not speak French.
Additional Information:
Ubisoft teams count 19,000 people across more than 30 countries and are linked by a common mission: to enrich players’ lives through original and memorable game experiences. Ubisoft is an equal opportunity employer and values diversity and inclusion.
Working at Ubi MTL provides a collaborative environment focused on professional growth, learning opportunities and well-being.
Work model and relocation:
Ubisoft promotes a flexible work policy with a hybrid model requiring a minimum of three days per week in the office and two days remote. If you reside outside Québec or Canada, relocation will be necessary. If you require a work permit, eligibility depends on your education and years of relevant work experience according to government requirements.
Equal opportunity:
Ubisoft welcomes diversity in all its forms and is committed to an inclusive and respectful work environment.

