5 of 5 Anomaly Detection Jobs in the City of London

across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate complex technical concepts and data insights into clear recommendations for senior stakeholders. Contribute to the development ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

actionable recommendations that improve customer journeys. Advancing AI-native analytics : Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation - helping the team move faster and deliver more scalable, proactive insights. ...

near-real-time data flows. Shape the architecture for AI-enabled Financial Crime capabilities, including alert optimisation, investigation summarisation, adverse media triage and anomaly detection. Ensure AI and data capabilities are explainable, auditable and appropriate for a highly regulated environment. Establish architecture standards across security, resilience, data lineage, model ...

cases in weeks, not quarters. AI-driven forecasting and scenario modelling, automated reporting and commentary, close and reconciliation workflows, and collections, risk and anomaly detection. Build and own the technical stack: select the minimum viable, maximum scalable architecture. Make strong calls on ERP vs lightweight tooling, build ...