2 of 2 Fraud Data Analyst Jobs in England

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 ❯

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 ❯