201 to 204 of 204 Data Loss Prevention Jobs in England

enterprise strategy into a clear, phased platform roadmaps. Partner closely with architecture and engineering to shape platform strategy. Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform capabilities … support continuous monitoring, anomaly detection, chargeback reduction, and loss prevention. Provide structured updates to senior stakeholders and governance forums. Monitor platform performance, risks, costs and scalability considerations. Coach and develop product capability within the platform teams. What you'll bring Strong experience in payments ecosystems (cards, A2A, digital wallets ...

Experian is seeking a Senior Insider Risk Specialist to advance the Insider Risk Management Program and DLP governance. The role is hybrid, with 40% in the office in Nottingham or London, reporting to the Insider Risk Director. You will partner with DLP Engineering, review policies, develop detection use cases … deliver dashboards and reporting using DLP, SIEM, and UEBA. Strong governance and cross-functional collaboration are essential. #J-18808-Ljbffr ...

Fortinet, Inc. is seeking a Senior Software Engineer to join the Agent Endpoint DLP team in London. The role focuses on kernel and OS-level development for the FortiDLP endpoint agent, with ownership of new features and maintenance of existing functionality. You will work in a cross-functional ...

Brand Safety, Suitability, and Risk Hunting as primary areas of focus, while contributing to broader Supply Quality challenges around viewability, privacy-preserving solutions, and data leakage prevention. This is a high-visibility leadership role where your models and systems will process billions of ad impressions daily, directly impacting advertiser … tier ML/AI conferences (NeurIPS, ICML, KDD, WWW, ACL, EMNLP, CVPR, or equivalent) Experience with large-scale distributed ML systems processing terabytes of data Expert-level proficiency in Python and at least one systems language (Java, C++, Scala) Demonstrated ability to translate ambiguous business problems into well-defined ...