4 of 4 Permanent Fraud Detection Jobs in the City of London

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 our Team … worlds largest email based risk assessment solution. Your results will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. This is achieved through a range of activities. This includes proactive analysis of accounts to identify ...

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 ...

into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant ...

crypto conversion, dynamic pricing engines. Trading: Execution, order routing, liquidity, market data, trade lifecycle. Finance: Accounting flows, ledgering, reporting, revenue recognition. Risk: Transaction risk, fraud detection, credit/market risk signals and controls. Marketing: Customer journey optimisation, product-led growth, analytics, messaging. About You Proven experience ...