Fraud Analyst

Fraud Rule Analyst - AVP London/Hybrid Contract to September 2026 Day rate from £400 DOE via Umbrella Company Our commitment is to provide equal opportunity regardless of, for example, your gender, age, ethnicity, disability, sexual orientation or beliefs. We also engage with employers to develop programmes and pathways that embrace diverse talent and promote more inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and how it makes us faster, smarter and more innovative than our competition. My client is one of the largest financial institutions headquartered in Japan, with an established presence across all consumer and corporate banking businesses. Through its subsidiaries and affiliates, they offer a diverse range of financial services, including commercial banking, leasing, securities, credit card, consumer finance and other services. They are looking for a Fraud Rule Analyst to join the Operational Planning Department (OPPD) until September 2026. You will be working Monday to Friday, standard office hours with the occasional out of hours requirement in line with business needs. The role is hybrid working being in the office 2-3 days a week with the remainder of time working from home. Purpose of Job The Rules and List Management Utility (RLMU) is a newly formed team within OPPD-FCMG and has been established to ensure that there is a sustainable, independent BAU capability to proactively manage the tuning of all Monitoring and Screening applications, thus ensuring that the processes are both effective and efficient in detection. This role is part of a Fraud analytics capability within this 1LoD working to ensure that our Fraud Screening system is working at peak effectiveness and efficiency. Whilst based within 1LoD, liasing with colleagues across all departments and branches will be required. The rule analyst will provide insights and enhanced governance over the rule sets employed within the screening and monitoring systems, suggesting data driven changes to these, including system tuning, to increase both the efficiency and effectiveness of these systems Accountabilities and Responsibilities • Conduct proactive data analysis to identify emerging threats, behavioural patterns and potential production issues, enabling early intervention to reduce attempted fraud and criminal activity. • Liaise with Technology teams to remain up to date on Actimize Fraud system enhancements, releases, and configuration changes. • Support and contribute to projects and new initiatives within the Fraud Payment Screening domain, ensuring analytical insight informs design and implementation. • Perform rule threshold reviews, tuning and data analysis, including trend analysis, rule design, development, testing, volume analysis, documentation, and presentation of findings. • Assist in the creation of management information (MI) for senior stakeholders, demonstrating system performance, rule effectiveness, and operational insights. • Conduct analytical work, including data gathering, requirements definition, and collaboration with business stakeholders to shape enhancements and operational improvements. • Manage and maintain rule and list configurations, ensuring regular evaluation of accuracy, effectiveness, and continued relevance. • Create, maintain, and review procedures and standards documentation to ensure consistency and compliance with internal governance. • Collaborate with senior stakeholders to understand business needs and drive enhancements to existing applications, supporting operational efficiency, architectural improvements, and infrastructure optimisation. Knowledge and Experience • Demonstrated knowledge of fraud typologies and the applicable controls, experience with Actimize Fraud is preferred. • Strong understanding of payment flows, payment channels, and end‑to‑end payment processes. • Experience with analytical or database‑querying tools such as SQL, with the ability to extract, manipulate, and analyse complex data sets. • Proficiency with data visualisation and reporting tools, including Power BI, to translate analytical findings into clear insights. • Ability to identify broader business impacts, risks, or opportunities across key outputs, systems, and processes. • Proven capability to work independently, manage personal workload, and deliver to deadlines across multiple concurrent tasks or projects. • Strong written and verbal communication skills, with the ability to prepare structured analysis, articulate rationale, and present findings to stakeholders. • Ability to collaborate effectively with colleagues at all levels, including those with differing expertise, as part of cross‑functional project workstreams. Candidates must show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.