1 to 25 of 36 Remote Fraud Detection Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

as well as the Forbes Cloud 100 , CNBC Disruptor 50 , and TIME Magazine's 100 Most Influential Companies . About the Role As a senior member of Ramp's Fraud Operations team, you will play a pivotal role in safeguarding the company and its customers against fraudulent activities. This position involves analyzing new account applications, monetary and non-monetary … transaction activity to identify and mitigate risks associated with first-party and third-party fraud. We are seeking a detail-oriented professional who is adept at applying fraud detection techniques and leveraging data sources and tools to develop logical courses of action. In addition to technical acumen, this role requires strong interpersonal and communication skills to interact effectively … we continue to scale. Ideal candidates are self-starters who are energized by ambiguity and love creating clarity. What You'll Do Analyze new account applications to detect potential fraud patterns, including identity theft, synthetic identities, and other high-risk behaviors. Evaluate transactional activity, identifying anomalies and irregularities indicative of fraudulent behavior. Thoroughly investigate alerts of first-party 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. And we have fun in the meantime! We are a friendly bunch and pride ourselves in More ❯