8 of 8 Permanent Anomaly Detection Jobs in London

Role We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit … technical direction in a fast-paced, evolving environment with minimal structure. Key Responsibilities Develop and deploy data science models, with a focus on anomaly detection Work across multiple datasets, including biometric and GPS/location data Analyse and interpret data generated from wearable hardware devices Collaborate with ...

/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g., AWS AgentCore). Define and govern DevOps, platform engineering and observability ...

analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands-on ML/AI for quant finance (signal extraction, surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. Familiarity with distributed ...

analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed ...

preventative controls. Drive adoption of automation-first principles, reducing dependency on human-driven processes. Contribute to AI-driven operational use cases, including event correlation, anomaly detection, noise reduction, operational insights, and automated remediation. Ensure AIOps capabilities are grounded in reliable telemetry, clear control boundaries, and measurable operational … Operational Excellence Define standards for telemetry, monitoring, alerting, and operational visibility across all critical systems. Ensure services are observable, measurable, and support proactive detection of issues. Improve operational readiness, incident response effectiveness, and time-to-recovery through engineering solutions. CI/CD & Platform Integration Contribute to the design ...

frameworks, and adaptive access controls. Collaborate with the Senior Architect Information Security and lead the implementation of identity governance automation, leveraging machine learning for anomaly detection and remediation. Ensure seamless integration of multi-factor authentication (MFA) with biometric and mobile device capabilities to improve both security … user experience. Champion the adoption of identity threat detection and response (ITDR) solutions to proactively identify and mitigate identity-based attacks. Develop and maintain the firm's IAM architecture, including identity lifecycle, access governance, and privileged access controls. Design secure authentication and authorization patterns (OpenID Connect, SAML, OAuth ...

legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud … platform. Here’s how you’ll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis , anomaly detection, or traffic monitoring , with an interest in developing stronger skills Understanding of full packet capture and analysis concepts, or hands ...