1 to 25 of 67 Permanent Fraud Detection Jobs in England

claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage More ❯

wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a More ❯

DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯

excellent customer outcomes. This role focuses on analysing customer data, evaluating credit risk policies, forecasting and monitoring portfolio performance to identify areas for improvement. You will also contribute to fraud detection and prevention strategies, leveraging your skills to protect both the business and our customers. Working closely with the Credit Risk Manager and collaborating with teams across product … strategies. Support the development and implementation of credit risk models and decision systems, ensuring they align with business goals. Take ownership of key metrics related to credit risk and fraud, identifying trends and recommending improvements to strategies and policies. Drive fraud analytics by identifying and analysing patterns related to first-, second-, and third-party fraud, working with … the Fraud team as needed. Influence senior stakeholders through the presentation of analysis and recommendations in order to drive impactful change. Collaborate with the data engineering and product teams to enhance data quality and ensure efficient integration of credit risk tools and systems. Support in testing and validating new credit risk tools, processes, and decision-making frameworks. Stay updated More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and fraud patterns Requirements Industry experience in data science or machine learning models, ideally in fraud, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud More ❯

wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a 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, About the team: You will be part of a team … who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You … craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements: Experience in a More ❯

predictive maintenance pipelines for government departments. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you'll help define our analytics engineering practices, tooling choices, and data architecture patterns that will More ❯

partners in digital banking and financial services. With a strong focus on customer experience, innovation, and security, we are committed to maintaining the trust of our users through robust fraud prevention and detection frameworks. Role Overview As a Fraud Manager, you will lead a team responsible for identifying, investigating, and mitigating fraud risks across our digital … banking products and services. You will play a key role in shaping fraud strategy, implementing proactive controls, and enhancing our fraud monitoring capabilities. Key Responsibilities Lead the fraud detection and prevention team, ensuring effective monitoring and investigation of suspicious activities. Develop and implement fraud risk management strategies and policies aligned with regulatory requirements and industry … Utilize data analytics, rules engines, and machine learning models to detect unusual patterns and prevent fraudulent transactions. Collaborate with Product, Engineering, Customer Service, Compliance, and Legal teams to enhance fraud controls across customer journeys. Manage fraud case investigations, reporting, and escalations, ensuring timely resolution and customer impact mitigation. Monitor KPIs and generate regular fraud performance reports for More ❯

big ambitions, we've achieved double unicorn status and serve over 5 million customers. We have exciting projects ahead and significant growth plans. The role. We are seeking a Fraud Manager responsible for developing and implementing strategies to prevent and detect fraud. This role involves collaborating with teams such as Credit Risk and Engineering, monitoring fraud trends, leading … analysts, and coordinating with external partners to ensure effective case resolution. The Fraud Manager will also report on fraud metrics to leadership and utilize data analytics to enhance detection methods, protecting both the company and its customers. Day-to-day responsibilities. Develop, execute, and refine Zilch's fraud management framework and strategy. Monitor emerging fraud trends and threats, working with Credit Risk, Product, and Engineering teams to implement proactive measures to reduce fraud losses. Stay informed about new fraud trends and mitigation strategies in the market. Create standardized policies, procedures, and controls for fraud detection, prevention, and reporting. Assess and improve fraud workflows for seamless case handling and explore More ❯

the full lifecycle of model development —from data wrangling and feature engineering to building and deploying ML models in production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills in predictive modelling will make a real-world impact. You’ll More ❯

the full lifecycle of model development —from data wrangling and feature engineering to building and deploying ML models in production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills in predictive modelling will make a real-world impact. You’ll More ❯

mission to help businesses improve decision-making using AI, machine learning, and optimization. FICO makes a difference worldwide: Credit Scoring - Used by 90 of the top 100 US lenders. Fraud Detection - Protects 4 billion payment cards globally. Lending - Used in 75% of US mortgages. Join us to be part of a diverse, inclusive environment that fosters collaboration and More ❯

Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate with the Risk Strategy Lead … and the technical implementation of our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage Open Banking: Maximise the use More ❯

Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate with the Risk Strategy Lead … and the technical implementation of our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage Open Banking: Maximise the use More ❯

evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics) If this role looks of interest More ❯

evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics) If this role looks of interest More ❯

Our client is seeking a Payment Compliance Lead to drive compliance, reduce fraud risks, and optimise payment performance. This role offers the opportunity to collaborate across teams, ensuring payment processes remain secure and efficient while supporting business growth. Key Responsibilities Compliance & Risk Management Ensure compliance with Visa, MasterCard, AMEX, and other global regulations. Develop scalable policies and monitoring frameworks … to mitigate risks. Stay ahead of regulatory updates and assess their impact on payment operations. Conduct audits, risk assessments, and compliance checks for continuous improvement. Fraud Prevention & Risk Reduction Manage fraud prevention strategies, balancing risk reduction with revenue growth. Collaborate with data science teams to optimise AI-driven fraud detection. Define and execute the Risk Reduction Roadmap … innovative strategies. Monitor transaction patterns to identify and prevent fraudulent activity. Product & Technology for Risk Mitigation Own the Risk Mitigation Roadmap, ensuring alignment with business objectives. Identify gaps in fraud tools and propose enhancements, including real-time monitoring dashboards and automated chargeback solutions. Partner with engineering teams to implement secure, scalable risk management systems. Use data analytics and machine More ❯

us build the future of Web3 and digital ownership. Location supported This role can be performed in London or remotely from the United Kingdom About the Opportunity As a Fraud Strategy Lead, you will play a key role in safeguarding the integrity of MoonPay's platform and clients by identifying and mitigating fraud risks across our suite of … products and services. You will be responsible for developing and enhancing fraud detection and risk mitigation strategies, with a focus on identity fraud, payments fraud, account takeover (ATO) and fraud incident investigation, all while ensuring that decisions are based on robust analytics and large-scale data sets. Using data-driven insights, you will develop a … deep understanding of MoonPays fraud prevention capabilities and collaborate with cross-functional teams including data science, security, compliance, product, and engineering to implement effective solutions. This is an excellent opportunity to leverage your expertise in risk management and fraud prevention to drive strategic and impactful results, and grow your career in a fast-paced, dynamic environment. What you More ❯

insights to increase average games played per month and overall revenues. User Segmentation: Identify and profile different user segments, uncovering behavioural patterns to inform tailored marketing and product strategies. Fraud & Risk Detection: Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business. Onboarding & Payments: Analyse and improve the … tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail, analytical mindset, and a genuine passion for solving business problems with data Excellent communication skills and the ability to turn More ❯

projects could include: Establishing the foundation for product analytics at Tempcover, including event tracking, platform insights, and user behaviour analysis Investigating customer segments and behaviours to support pricing, targeting, fraud-detection and product development decisions Modelling and tracking customer return behaviour across products and platforms Analysing and improving digital marketing and consumer journeys across our businesses Designing and More ❯

help clients design their approach to assurance as well as executing framework-wide or thematic reviews. What will you be doing? Combine technical financial crime knowledge (across transaction and fraud monitoring, transaction and customer screening, and customer due diligence) and data analytics knowledge to deliver projects to a high standard. Leverage your technical knowledge, experience, and contacts to contribute … Financial Crime knowledge and experience to design and carry out end-to-end testing of Financial crime systems. These systems can include screening, transaction monitoring, customer due diligence, and fraud detection. Risk Management: Experience in assisting with scoping, adherence to risk and management standards, internal financial management, managing delivery risk, production, and review of deliverables. Data: Ensuring teams can More ❯