26 to 50 of 129 Fraud Detection Jobs in London

Continue with Google Happening Greater London, England, United Kingdom Join to apply for the Staff Machine Learning Engineer role at Happening As a Staff Machine Learning Engineer in our Fraud Prevention team, you will leverage your expertise to build robust fraud detection models that safeguard our platform in the fast-paced world of online gaming and sports … edge tools, you’ll play a key role in ensuring platform security and enhancing our services for hundreds of thousands of daily users. What you’ll you be doing: Fraud Detection Modeling developing and optimizing traditional ML algorithms such as gradient boosted trees in fraud detection or anomaly detection domains creating graph analyses and graph … and SQL, with solid experience in relational databases Good knowledge and experience of the broader data science domains, especially large language models or computer vision models used for anomaly detection A track record in deploying machine learning pipelines using tools such as Airflow, SageMaker Pipelines or similar A talent for clean coding, simple solutions, automated testing and continuous deployment 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 ❯

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 ❯

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 ❯

data analyses, reporting requests, and broader data initiatives. Contribute to data governance by documenting definitions, processes, and ensuring consistency across the organization. Assist in advanced analytics initiatives, such as fraud detection, customer segmentation, churn analysis, and performance tracking. 2–4 years of experience in a data analytics role, ideally within the casino, iGaming, or online entertainment industry. Strong More ❯

solutions and related architectures. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Data Science, or a related field. Experience in banking, finance, risk, or fraud detection is a plus. A track record of leading AI-driven transformation projects in financial services is highly desirable. About Standard Chartered We're an international bank, nimble More ❯

Data Scientist, Ad Fraud Detection, Traffic Quality ML Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the More ❯

Office based role, working out of either London or Milton Keynes office Are you a seasoned fraud expert with payments acquiring experience and a passion for tackling complex challenges in the fast-evolving world of fintech? is on the lookout for a dynamic Senior Fraud Analyst to be part of our innovative UK Risk team. This is your … opportunity to shape fraud prevention strategies at a leading European e-money institution, where your expertise in card payments, digital transactions, and fraud analytics will make a tangible impact. Step into a role that offers ownership, innovation, and the chance to work with some of the brightest minds in the industry. Join us and help redefine the future … to All-in-One business solutions, empowering merchants to adopt cutting-edge technology seamlessly and scale their business with ease. Role Overview: We are seeking a highly skilled Senior Fraud Analyst to join ’s UK Risk function. As a leading European fintech and regulated e-money institution, provides advanced payment and acquiring solutions to a wide range of merchants. 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 ❯

our Business Services vertical, we offer solutions that help businesses drive revenue, improve operational efficiency, and enhance customer experience. Our solutions address challenges in Anti-Money Laundering, Identity Verification, Fraud Prevention, and Customer Data Management. Learn more at https://risk.lexisnexis.com . About the team: You will join a team utilizing global data from our real-time fraud detection platform to develop solutions for enterprise clients. About the role: Your expertise in data analysis, statistical modeling, and machine learning will have a direct impact by reducing customer friction, lowering fraud losses, and increasing profitability. You'll work with a platform analyzing billions of transactions monthly across sectors like Financial Services, Insurance, e-Commerce, and On … Demand Services. This role involves collaborating with product, engineering, and business teams, and building models to combat sophisticated fraud attacks. Responsibilities: Design and implement machine learning or rule-based models adhering to best practices and governance standards. Utilize SQL and Python, along with your quantitative skills, to develop features that detect evolving fraud patterns. Create internal tools to 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. The Fraud Team We are here to use data and AI to protect Marshmallow from application fraud, making sure that the people and risks we insure are genuine and fairly … priced. Our work is critical to achieving a healthy loss ratio, unlocking growth, and building trust with under-served customer segments. Our focus is on policy fraud at the point of sale. That includes detecting misrepresentation, organised fraud such as ghost broking, and verifying customer information efficiently and at scale. We build models and tools that help Marshmallow … direct investigative effort to where it has the biggest impact. The goal is to reduce operational workload while improving decision quality. You will join a cross-functional team spanning fraud operations, product, and engineering, with full ownership of your initiatives. You will help shape the next generation of fraud defences powered by intelligent workflows, structured and unstructured data More ❯

Strategy Analyst - Fraud Team Hybrid in London, UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we … and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we ensure businesses get the funds they need - often within minutes. The team The Fraud team owns iwoca's fraud strategy, analytics and tech systems. The team optimises iwoca's fraud decisioning, balancing robust fraud detection and prevention, with exceptional … The role The Strategy Analyst role combines strategic and analytical thinking. The successful candidate will conceive, manage and deliver projects that use data to identify changes to iwoca's fraud strategy to balance fraud detection with customer conversion. The role requires good collaboration, working closely with our engineers and Team Lead, as well as other teams within More ❯

qualifications and experience that would be beneficial for the role? Education: Degree in Finance, Economics, Business, or a related field. Certifications: CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner), or relevant blockchain/crypto certifications. Data Analysis Proficiency: Competency in data analysis tools (e.g., Excel, SQL) to support transaction analysis and investigative work. Cryptocurrency Knowledge: Familiarity with … blockchain technology, cryptocurrency transaction flows, and the financial crime risks associated with digital assets. Fraud Detection Experience: Experience in fraud detection or other investigative roles within the financial services or payments industry. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Finance and Sales Referrals increase your chances of 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 ❯

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 ❯

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 ❯

and machine learning engineers that work together to go from ideation to production. We own end-to-end data engineering pipelines and ML models that span multiple applications (think fraud detection, time series prediction of financial data, churn prediction and more). What you will do: Help shape what we build. Our current tech stack includes Airflow, Fivetran More ❯