5 of 5 Fraud Data Analyst Jobs in the UK

This range is provided by Marcura. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range As a Fraud Data Analyst, you will play a critical role in detecting, analysing, and mitigating fraudulent activities across card and wire transactions. You will work closely with the Transaction … Monitoring Manager and the broader Compliance team to ensure the integrity and security of our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse … transaction data to identify patterns and trends indicative of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential card fraud. o Develop and implement data-driven fraud detection rules and models. o Analyse false positives to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with More ❯

Social network you want to login/join with: Join Marcura as Fraud Data Analyst – A Remote First Opportunity with Flexible Work Culture About Us Marcura was founded 23 years ago by two visionary entrepreneurs. Our mission has always been to revolutionize digital processes within the global shipping industry. We achieve this by putting our customers first … for continued success. Now, we’re looking for talented individuals who are as committed to excellence as we are to join us in this exciting journey. About the Role: Fraud Data Analyst As a Fraud Data Analyst, you will play a critical role in detecting, analysing, and mitigating fraudulent activities across card and wire … You will work closely with the Transaction Monitoring Manager and the broader Compliance team to ensure the integrity and security of our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve More ❯

and comprehensive benefits. Your Mission The Customer Risk Monitoring team is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from financial risks, including fraud, money laundering, and terrorism financing. Our goal is to minimise financial losses and risk exposure while supporting and maintaining our customers' trust and ensuring compliance with regulatory requirements. We … reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between data and the business, collaborating closely with Operations, Compliance, Engineering, and Product teams to shape and prioritise analytical initiatives Identify opportunities to improve and automate monitoring, escalate emerging threats, and … continuously evolve our understanding of risk Build and maintain clear and impactful dashboards, reports, and documentation to monitor key metrics, surface relevant trends, and drive data-informed decisions Partner with data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases Help define and analyse fraud and More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Work closely with the Fraud Strategy and Change, Fraud Risk, and Engineering teams to identify push payment fraud trends and use data analysis to propose solutions for prevention and transaction monitoring. More ❯

too. Join us and build an exceptional experience for yourself, and a better working world for all. About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with … advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging More ❯