13 of 13 Fraud Detection Jobs in London

team consists of 20+ Applied Scientists located in London. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team of scientist who will coach … dask, AWS). We impact production directly but also the machine learning community. Responsibilities: You will contribute to research on Vision Language Models for fraud detection, face matching and document extraction You will work on unique, large-scale image and video datasets and train models on state ...

insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within … feasible AI solutions Assess client data maturity, policy document quality, legacy platforms and security constraints Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities Produce clear, concise technical ...

insurance-specific client outcomes and the firm s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within … feasible AI architectures Assess client data maturity, policy document quality, legacy platforms and security constraints Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities Produce clear, concise technical ...

deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into a holistic view. Your work will directly help traditionally underserved consumers … highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost models for deeper risk insights. You will mine data to find behavioural signals—such as spending volatility or income ...

languages with exposure across the full tech stack? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities. ...

/CD. - Understanding of event-driven architectures (Kafka/RabbitMQ). Preferred Skills: - Experience with fine-tuning, prompt engineering, multi-agent architectures. - Exposure to fraud detection, risk systems, or NLP-heavy enterprise workloads. - Familiarity with microservices patterns and latency optimization. ...

automate risk investigations they run when onboarding and monitoring business customers in Europe, Middle East, USA and Asia. Our founders have built fraud and credit risk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify … businesses. With deep expertise in AI-driven risk assessment, we turn unstructured data into powerful insights, helping our customers automate manual reviews, strengthen fraud detection, and improve the onboarding experience for legitimate businesses. We already work with leading fintech unicorns and banks, are growing fast ...

Agent Monitoring Infrastructure : Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory … Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications • Anomaly Detection : Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do • Evidence ...

disciplinary teams in the delivery of advanced cloud-based analytics. We're using these analytics to improve the accuracy of benefit payments and strengthen fraud detection and prevention. Your work will help shape modern data platforms that are improving critical public services. You'll work closely with senior ...

customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About the Team … LexisNexis® RiskNarrative® product, responsible for delivering Strategic Engagement Services to customers throughout their lifecycle. RiskNarrative brings powerful automation under total control, uniting fraud detection, financial crime prevention, compliance and risk management across the entire customer lifecycle for our customers. About the Role: You will support the ongoing management ...

/CD, containerisation, and infrastructure-as-code Desirable/Nice to Have: Neo4j Certified Professional or Advanced Certification Experience with Real Time analytics, fraud detection, recommendations, or network analysis Knowledge of Kubernetes, Terraform, or Pulumi Exposure to event streaming (Kafka, Pub/Sub) Prior experience with regulated industries ...

risk systems • Merchant onboarding and integration frameworks • Platform connections with major e-commerce systems • AI/LLM powered taxation tools • AI/LLM powered fraud and risk tools 🧩 What You'll Do Technical Development • Write high-quality, maintainable code • Implement core payment and financial systems • Build secure, scalable backend … engine for a new jurisdiction • Design the merchant onboarding flow and integration framework • Build AI-powered tools for automated tax classification • Implement real-time fraud detection and risk scoring • Create automated reconciliation systems that catch discrepancies before they become problems 🧱 What We're Looking For Ideal background: • Fluency ...

languages with exposure across the full tech stack? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a rang click apply for full job details ...