1 to 25 of 60 Fraud Detection Jobs in London

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 ❯

Job summary The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection … is essential to align data science initiatives with NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based … Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and London and offer flexible, hybrid, office and home-based 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, risk.lexisnexis.com About the team: You will be leading and coaching … a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced … fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go 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 the team: You will be leading and coaching … a team of early career data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. About the role : Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced … fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders. The comprehensive solutions that you and your team build will go 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Familiarity with the sales qualification methodology 'MEDDPICC' or equivalent An understanding of Financial Services business and technology challenges Experience in Consumer Lending, Credit Risk, Account Management, Retail Banking and Fraud is also a positive but not mandatory A Passion to learn and educate customers through presentations and conversations with strong soft skills Ability to travel up to 40% of … optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. • Lending - 3/4 of US mortgages are approved using the FICO Score. 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 ❯

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 ❯

environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business … and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end … fraud solutions. Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks. Leverage the extensive data received from our application to enhance model performance and accuracy. Requirements 7+ years of experience in hands-on working on spam and fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions More ❯

advanced transaction monitoring systems and analytical tools. Your primary role will be to monitor merchant and cardholder activity to identify, investigate, and help mitigate risks related to money laundering, fraud, and non-compliance with card association rules. This is an exciting opportunity to develop your skills in a fast-paced fintech environment and contribute directly to Rapyd's success. … brand-damaging activities, ensuring all actions are documented and aligned with internal policies. Understand and respond effectively to notifications from external bodies, such as Card Schemes (Visa, Mastercard), regarding Fraud, AML, Credit, or Regulatory risks. Work closely and effectively with various internal teams, including Customer Success, Partnerships, Compliance, Finance, Operations, and Business Lines, to ensure a cohesive, customer-centric … external stakeholders (e.g., merchants, partners), providing guidance on risk-related matters and contributing to a culture of risk awareness. Requirements 1-2 years of experience in a transaction monitoring, fraud detection, AML, or a similar risk-focused role, ideally within the payments or financial services industry. Fluent in English, with exceptional verbal and written communication skills. Strong analytical 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 The Customer Engagement team acts as a … centre of excellence for the LexisNexis RiskNarrative product, responsible for deliveringStrategic Engagement Services to customers throughout their lifecycle. RiskNarrative brings powerful automation under total control, uniting fraud detection, financial crime prevention, compliance and risk management across the entire customer lifecycle for our customers. About the Role You will support the ongoing management and optimisation of existing customers of … Able to react well to rapidly changing requirements with a positive attitude Able to meet deadlines while delivering an exceptional customer experience Having experience working in the financial crime & fraud sector is beneficial, however not essential We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are More ❯