Game Security Data Analyst — Player Protection

As a key member of the game security team for Rainbow Six Siege, the Player Protection and Game Security Data Analyst plays an essential role in defending the integrity of the player experience. The role focuses specifically on protecting players by using data to identify and mitigate threats that compromise fairness, safety and trust in the game.

The analyst will help protect:

• Competitive integrity, including botting, boosting, smurfing and Elo manipulation.
• Monetization fairness, such as marketplace abuse and item exploitation.
• Account integrity, including account theft, sale and unauthorized access.

The data specialist will own the knowledge and strategies used to address competitive integrity threats at the game level, ensuring 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 rely on cross-functional expertise and data to understand and propose how to strengthen existing strategies.

Responsibilities:

• Cross-team collaboration: Work with teams such as UDO, Online Services, SRM, CRC and Game Security to improve detection and response capabilities. Connect data across systems to track the full abuse lifecycle from detection to sanction and appeal.
• Player protection KPIs and monitoring: Define and maintain indicators that reflect the health of the player-protection ecosystem. Develop real-time visualizations to monitor abuse trends, system effectiveness and bad-actor behavior.
• Tooling and visualization: Build dashboards that surface actionable information for internal stakeholders. Support leadership decision-making by translating complex threats into clear strategic implications for the game.
• Abuse intelligence and analysis: Examine abuse patterns in competitive play, monetization and account areas. Use data from multiple ecosystems to discover emerging threats and assess their impact on players.
• Innovation and research: Stay current on industry trends in anomaly detection, behavioral analysis and game data science. Propose new approaches and technologies to strengthen player-protection strategies.

Qualifications:

• Bachelor's or Master’s degree in data science/analytics, computer science, statistics or a related field.
• 3+ years of data-analysis experience, ideally in games, fraud detection or cybersecurity.
• Proficiency in Python, SQL and data visualization tools.
• Experience with machine learning and anomaly detection is a strong plus.
• Familiarity with game telemetry, matchmaking systems or player behavior analysis is an asset.

Skills and attributes:

• Strong analytical and problem-solving abilities
• Genuine interest in player protection and game security
• Autonomous, proactive and results-oriented
• Excellent communicator able to turn complex data into actionable insights
• Curious, pragmatic and adaptable to evolving challenges
• Collaborative team player with a security-focused mindset

English proficiency is required to communicate effectively with colleagues and partners worldwide who do not speak French.