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En tant que Spécialiste en sécurité – Fraude numérique à Ubisoft Montréal, vous contribuerez à protéger nos joueurs et nos plateformes en détectant, en comprenant et en réduisant la fraude numérique à grande échelle. En collaboration avec les équipes Données, Ingénierie, Produit et Production, vous renforcerez les capacités de prévention de la fraude et aiderez à répondre aux menaces émergentes afin d’assurer une expérience de jeu sécurisée et fiable.

Ce que vous ferez

Explorer et interpréter des données transactionnelles et comportementales afin d’identifier des schémas de fraude et des anomalies
Concevoir et maintenir des tableaux de bord et rapports à l’aide d’outils comme Splunk, Azure Data Explorer et Databricks pour suivre les tendances et indicateurs clés
Enquêter sur des menaces de fraude numérique, notamment le bourrage d’identifiants, la prise de contrôle de comptes, la création de faux comptes et les abus de places de marché
Concevoir et déployer des règles de détection, alertes et cas d’usage dans les plateformes de surveillance
Collaborer avec les équipes Données, Ingénierie et Produit pour améliorer les systèmes de détection, moteurs de risque et processus opérationnels
Réaliser des analyses de causes profondes à la suite d’incidents de fraude et contribuer aux stratégies de prévention à long terme
Repérer les lacunes dans les capacités de détection et soutenir l’amélioration continue des cadres de prévention
Appuyer la gestion d’incidents liés à la fraude et les analyses post-incident
Fournir des recommandations et analyses claires aux parties prenantes en tant que personne-ressource

25:T4f1,

Ce que vous apportez à l'équipe

Expérience en fraude numérique, recherche de menaces ou gestion du risque de fraude
Expérience pratique avec des systèmes de détection de fraude, moteurs de risque ou des plateformes de gestion des informations et événements de sécurité
Bonne maîtrise de SQL et Python pour l’analyse de données et l’automatisation
Expérience avec des ensembles de données à grande échelle et la transformation d’analyses en actions concrètes
Expérience dans la création de logiques de détection, de mécanismes de notation ou de règles basées sur des modèles
Compréhension des vecteurs de fraude courants, comme la prise de contrôle de comptes et les attaques automatisées
Solides compétences en analyse et résolution de problèmes, avec souci du détail
Capacité à communiquer des résultats complexes à des publics techniques et non techniques

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Spécialiste en sécurité – Fraude numériqueUbisoft

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