1 to 25 of 61 Remote Fraud Detection Jobs in the UK

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 ❯

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 … 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 ❯

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 ❯

IFRS 17 and BCBS 239 for financial reporting and risk management. Understanding of the UK Data Protection Act and Solvency II compliance. Experience with pricing models, claims processing, and fraud detection within the insurance sector Strong problem-solving skills and ability to translate business needs into technical solutions Ability to document and present complex data architectures to technical More ❯

can’ doesn’t always mean you ‘should’. What you can expect You’ll be joining the team as a Senior Analyst in Financial Crime Models Management, specialising in fraud monitoring. Reporting to the FinCrime Models Management Lead, you’ll be a part of a fast-growing business that is challenging the market and doing things differently. Financial Crime … Payment Screening tools are effective and robust. The team supports the business day-to-day whilst also being a key participant in strategic projects. We are looking for a Fraud Models specialist to design, develop and tune rules and machine learning models targeting fraudulent transactions. You will be familiar with the fraud risks across a variety of banking … grow in your role, enriching your FinCrime knowledge while developing more sophisticated FinCrime analytics and capabilities to identify potentially suspicious activity. This is a role for someone who understands fraud typologies and monitoring approaches with experience of working with vendors to deliver an essential part of our ambitious, growing organisation. You will understand the impact of data quality issues 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 ❯

million customers. There are some exciting projects coming up and we’ve got big growth plans. Want to join us? The role We are looking for a Senior Fraud Strategy Manager who develops and implements strategies to prevent and detect fraud, collaborating with teams like Credit Risk and Engineering. They monitor fraud trends, lead a team of … analysts, and coordinate with external partners to ensure effective case resolution. The role also includes reporting on fraud metrics to Zilch’s leadership and using data analytics to improve detection methods, safeguarding both the company and its customers. Day-to-day responsibilities Help shape, develop, and execute Zilch’s fraud management framework and strategy. Monitor and stay … on top of fraud trends and emerging threats, collaborating with Credit Risk, Product, and Engineering teams to implement proactive measures to minimize fraud losses. Be aware of new fraud trends in the market and their mitigation strategies. Develop standard policies, procedures, and controls related to fraud detection, prevention, and reporting. Assess and improve fraud More ❯

What You'll Do As a key team member, you will contribute to designing and deploying machine learning models and data-driven strategies to address challenges in credit risk, fraud detection, and customer intelligence. You will report to the Southern Europe Analytics Director. Your Responsibilities Develop and validate predictive models using advanced statistical and machine learning techniques. Translate … we focus on innovation and diversity, fostering a culture of inclusion and growth. Experience and Skills At least 2 years of experience in data science related to credit risk, fraud analytics, or marketing analytics. Background in machine learning, predictive modeling, and statistical analysis. Proficiency with tools such as Python, R, SAS, or SPSS. Experience with cloud-based platforms like More ❯

KPIs Real-Time Optimization: Build systems to monitor and optimize user engagement and monetization in real-time Predictive Modeling: Develop churn prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models Market Intelligence: Competitive … Sportsbook or betting industry experience - Understanding of betting patterns, line setting, and risk management Sweepstakes/social casino experience - Knowledge of compliance requirements and user behavior in this space Fraud detection experience - Building systems to identify suspicious betting patterns Real-time analytics experience - Systems that can react to user behavior changes quickly Nice-to-Haves Experience with entertainment More ❯

days ago Be among the first 25 applicants About Business Unit: COO, Fraud Analytics Salary range: £39,200 - £58,800 per annum DOE+ benefits Location: UK Hybrid - London, Gosforth, Glasgow, Leeds Contract type : Permanent Our Team You will be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What … this means in layman’s terms is that the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What You’ll Be Doing Driving application fraud strategy for a … specific area of the business, being a point of contact for stakeholders and providing SME input. Optimisation and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of the More ❯

uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims, customer retention, fraud detection, and customer servicing. As a Data Scientist, you'll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into … trends in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key More ❯

insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and respond to change with confidence. With a deep commitment to innovation and a global team of experts … insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and respond to change with confidence. With a deep commitment to innovation and a global team of experts More ❯

chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever. About The Role The Head of Fraud will lead and enhance our fraud prevention, detection and management capabilities through a data-driven and strategic approach. This role will be pivotal in shaping and executing … the fraud and financial crime strategy, working cross-functionally with data, technology, product, operations and compliance teams to ensure robust, scalable frameworks are in place. The role will also directly lead all aspects of fraud operations ensuring that we rapidly assess and manage fraud and financial crime, and provide excellent support to Customers. Key Responsibilities Develop and … execute the fraud and financial crime strategy. Manage the end-to-end fraud and financial crime lifecycle from prevention and detection to investigation, reporting, and recovery. Take ownership of end to end fraud operational functions, including investigations, SAR reviews, and suspicious activity escalation. Implement and optimise fraud tools, analytics, transaction monitoring, and machine learning models. 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 ❯

against fraud. We are looking for an experienced and technical and process-minded Senior/Lead Product Manager - Fiat experience to lead our Global payment rail expansion and anti-fraud practice. You will especially make sure that our users’ deposit and withdrawal experience Globally is top-tier both with fiat and crypto. WHAT YOU WILL DO Optimize and expand … enhance conversion Own relationships with banks and payment gateways Globally Work with the brokerage team to enable trading in these local currencies. Build an industry-leading risk and anti-fraud function by collaborating with industry experts to identify benchmarks and develop strategies to exceed them. Create and execute a product roadmap, monitoring trends to identify risks, opportunities and new … and analyze the impact of existing and new features on key KPIs and user engagement. Collaborate with engineering, data science, operations, compliance and other teams to design and implement fraud detection and prevention tools. Work with external vendors on opportunities and solutions to protect against fraud Conduct root cause analysis of fraud incidents and develop corrective More ❯

Delivery Platform to define and lead this platform. You will design systems and abstractions that shape our cash delivery, owning the roadmap across capabilities like survey building, eligibility & verification, fraud detection, payments, and case management. You will work closely with engineers, field operations, and research teams to design, build, and scale a system that ensures cash gets to … field officers, recipients, and technical program managers – to design the platform and its abstractions Strategic Roadmap & Prioritization Own the roadmap for platform capabilities like survey tooling, eligibility and KYC, fraud detection, payments, and case management Make high-leverage prioritization decisions across multiple product lines and internal teams Define and track success metrics for the platform Detailed Product Design More ❯

of compliance teams, operational workflows, and business goals. Work closely with compliance, engineering, analytics, and operations teams to develop and refine solutions. Improve and optimize screening capabilities to enhance detection accuracy while reducing unnecessary friction. Stay ahead of industry changes, ensuring our products align with evolving global sanctions frameworks (OFAC, EU, UK, UN, etc.). Drive data-informed decision … Qualifications 3-5 years of product management experience, ideally in fintech, payments, compliance, or risk-related domains. Experience working on financial crime prevention products (e.g., sanction screening, transaction monitoring, fraud detection, or AML solutions). Strong analytical mindset with the ability to interpret data, identify trends, and drive insights. A collaborative approach, with experience working cross-functionally across 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 ❯

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. Who are we? Hi! We are Ravelin! We're a fraud detection company using … out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to make model … deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not More ❯