We are currently seeking a FraudAnalyst to work with our public sector client 6 months contract Excellent day rate inside IR35 Location: London Bristol OR Manchester/Hybrid The ideal candidates will have a proven FraudAnalyst background within public sector ideally holding active SC clearance. Skills & responsibilities: Review and triage fraud alerts from … live service data. Ensuring queues & workstreams are well maintained and sufficient time is allocated for priorities. Experience in the counter-fraud or financial crime space. Able to identify key trends and movements in data, as well as potential anomalies that require further investigation. Ability to work in a targeted and fast-moving environment. Demonstrable ability to manage and prioritise More ❯
Employment Type: Contract
Rate: £250 - £251/day Excellent day rate inside IR35
City of London, London, United Kingdom Hybrid / WFH Options
twenty84
Fraud Data Analyst Location: London, UK Contract: Permanent Salary: 70K-80K An excellent opportunity to join a fast-growing, innovative bank as a Fraud Data Analyst on a permanent basis, based in London with hybrid working available. This role is ideal for someone who wants to play a key part in shaping fraud and AML … a collaborative team environment with access to a fully serviced office space and regular wellbeing and social events. Key Responsibilities Create and implement a methodology for building and testing fraud and AML rulesets. Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions. Proactively identify and resolve inefficiencies in transaction monitoring and fraud detection logic. Develop and … maintain MI dashboards and real-time fraud risk metrics. Support decision-making with advanced analytics and contribute to the evolution of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data analysis and More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
twenty84
Fraud Data Analyst Location: London, UK Contract: Permanent Salary: 70K-80K An excellent opportunity to join a fast-growing, innovative bank as a Fraud Data Analyst on a permanent basis, based in London with hybrid working available. This role is ideal for someone who wants to play a key part in shaping fraud and AML … a collaborative team environment with access to a fully serviced office space and regular wellbeing and social events. Key Responsibilities Create and implement a methodology for building and testing fraud and AML rulesets. Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions. Proactively identify and resolve inefficiencies in transaction monitoring and fraud detection logic. Develop and … maintain MI dashboards and real-time fraud risk metrics. Support decision-making with advanced analytics and contribute to the evolution of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data analysis and More ❯
maximize operational efficiencies, and improve 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: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraudMore ❯
maximize operational efficiencies, and improve 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: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraudMore ❯
london (city of london), south east england, united kingdom
LexisNexis Risk Solutions
maximize operational efficiencies, and improve 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: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraudMore ❯
london (city of london), south east england, united kingdom
LexisNexis Risk Solutions
maximize operational efficiencies, and improve 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: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraudMore ❯