19 of 19 Remote Fraud Detection Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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. And we have fun in the meantime! We are a friendly bunch and pride ourselves in 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 ❯

Typical projects 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. Analyzing and improving digital marketing and consumer journeys. Designing and evaluating A/ More ❯

assessment for MSME customers from a bank or fintech. Strong knowledge of open banking data, financial accounting and analysis. Direct experience with UK SME credit underwriting, including familiarity with fraud detection techniques and red flags in lending, including use of transaction data or pattern-based analysis. Analytical thinking, detail orientation and ability to quickly understand new problems 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 ensure both our clients and their customers do not fall victim to fraud. And we have fun in the meantime! We are a friendly … management Grow the breadth of our relationship with the partnerships you manage Manage and plan regular workshops with partners Keep an up to date knowledge of the payments and fraud industry Proactively seek out growth opportunities Requirements A minimum of 2 years of partnership or account management experience Highly skilled communicator Strong presentation skills, both verbal and written Great … account Experience in identifying, developing, negotiating, and closing deals Proven ability to influence others and lead client engagements Proven experience in growing enterprise sized client accounts Nice to haves Fraud, payments, cloud computing, API or data science knowledge Experience in working with B2C Companies, Startups (Pre/Post IPO), Scale Ups Benefits Flexible Working Hours & Remote-First Environment - Work More ❯

convert funds seamlessly Build modular systems that enable rapid expansion into new markets with diverse regulatory and operational requirements Implement critical compliance functionality, including KYB, identity verification, AML, and fraud detection Automate operational workflows and partner failover systems to minimise downtime and support overhead Use data and insights to drive product and engineering decisions Mentor engineers, drive technical More ❯