23 of 23 Fraud Detection Jobs in the UK

Financial Crime Data & Systems Analyst, you will play a critical role in preventing financial crime by designing, maintaining, and optimising transaction monitoring and fraud detection rules. You will combine strong financial crime expertise with data-driven analysis to protect customers, meet regulatory expectations, and continuously improve control effectiveness. … will work closely with Financial Crime, Product, Data, and Technology teams. Your insight will help translate complex financial crime risks into practical, scalable detection solutions. Key Responsibilities Design, implement, and maintain transaction monitoring and fraud detection rules aligned to regulatory requirements and risk appetite. Conduct data ...

Status: Outside IR35 Project Overview You’ll join a fast-scaling fintech organisation undergoing a major AI-led transformation focused on building next-generation fraud detection, credit risk, real-time decisioning, and forecasting platforms. The programme is replacing legacy, rule-based systems with machine learning-driven intelligence … experience in Machine Learning Engineering, AI Engineering or Applied Data Science (fintech, banking, payments, or financial services strongly preferred). Design, build and productionise fraud detection, anomaly detection, transaction monitoring, credit risk and forecasting models. Develop time-series forecasting models for demand, liquidity, transaction volume and customer ...

SENIOR FRAUD ANALYST £40-60,000 dependent on experience BIRMINGHAM THE COMPANY This growing UK Bank are seeking an experienced candidate to lead hands-on analytical Fraud strategy and policy. This role offers an excellent opportunity to drive insight in a hands-on analytical role, whilst owning projects … profitability for the business. THE ROLE Leading the development of fraud rules and strategies to reduce incidences of Fraud and further protect customers and the bank Manage and oversee fraud detection systems to ensure issues and risks are being actioned Analyse a range of customer data ...

ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

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 ...

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 ...

industry events and forums. Ensure AI solutions meet regulatory and ethical standards. Prototype and deploy AI models for forecasting, customer insights, underwriting, and fraud detection. Technical Responsibilities Design and manage agentic AI architectures and generative code systems. Oversee code reviews and maintain standards for AI-assisted development. Develop testing ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

location and experience) Hybrid working policy : 2 days/week in-office (London/Manchester) High-impact work : Shape the future of ad fraud detection and optimization. Fast growth : Join a scale-up with a clear trajectory and work with cutting-edge ML and big data. Twice-weekly ...

location and experience) Hybrid working policy : 2 days/week in-office (London/Manchester) High-impact work : Shape the future of ad fraud detection and optimization. Fast growth : Join a scale-up with a clear trajectory and work with cutting-edge ML and big data. Twice-weekly ...

days The Role The AI Engineer will spearhead AI-driven innovation across insurance, annuities, and retirement solutions, focusing on risk modeling, claims automation, fraud detection, customer engagement, and personalized retirement planning. This role ensures the development and deployment of AI solutions that improve operational efficiency, regulatory compliance ...

shortage of job-ready candidates (STEM Learning). Portfolio-Led Learning: Build up to 5 real-world projects , including use cases such as fraud detection, forex analysis, and sales forecasting . UK-Based Credibility: Training delivered by a UK-based technology firm, aligned with current local industry expectations ...

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 ...

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 ...

/5G tower logs) Customer lifecycle & churn data Billing & revenue assurance Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection , etc. 7. Performance Optimization & Monitoring Tune Spark/Glue jobs for performance and cost. Monitor Redshift/Athena/S3 efficiency and implement ...

premise infrastructure and blending legacy data platforms with modern data architecture Knowledge of insurance specific analytics would be a bonus (such as fraud detection etc) Experience with ETL Tools, Altair Analytics Workbench would be preferred If this sounds of interest please apply using the links below ...

days The Role The AI Engineer will spearhead AI-driven innovation across insurance, annuities, and retirement solutions, focusing on risk modeling, claims automation, fraud detection, customer engagement, and personalized retirement planning click apply for full job details ...

Their world-leading Graph Platform powers mission-critical applications for Fortune 500 companies, including Deutsche Bank, Walmart, NASA, JP Morgan, and AT&T. From fraud detection to real-time product recommendations, their technology is at the heart of cutting-edge innovations. As they expand globally, they are seeking ...