We are looking for an experienced Senior Product Manager to join a high-impact fraud-focused product team within a complex digital environment.
This role will shape the tools, capabilities and decisions used to protect users, services and public money. You will need to be highly effective at prioritisation, able to translate needs and risks into meaningful outcomes, and confident building technical understanding quickly so you can work closely with engineers and make strong product decisions.
Due to the nature of the role, active SC clearance is required.
Key responsibilities
Own the vision, roadmap and backlog for fraud tools and capabilities, including detection engines, case management, identity verification, signals and transaction monitoring Prioritise work based on fraud risk, data insights, user impact, operational cost and technical constraints Define and track key fraud and product KPIs, including detection rate, false positive rate, user friction and loss avoidance Translate fraud typologies and emerging risks into product features, controls and decisioning logic Drive continuous improvement through live data, experimentation and feedback loops Work closely with engineers to understand systems, data flows and technical constraints Collaborate with fraud operations teams to improve workflows, alert triage and investigation tooling Work with data and analytics teams to shape the use of signals, scoring and models in fraud decision-making Manage stakeholders across product, engineering, operations, risk, security and delivery Ensure products meet relevant security, privacy, regulatory and data requirements Lead agile delivery, including backlog refinement, sprint planning and release prioritisation Support supplier and vendor management across fraud platforms and data providersEssential experience
SC Clearance - used in last 12 months Experience delivering fraud or financial crime products or tooling Background in banking, fintech, public sector or another complex regulated environment Strong prioritisation skills, with a focus on delivering the highest-value outcomes Understanding of fraud detection approaches, including rules-based systems, analytics and machine learning Experience working with transaction data, identity signals and risk-scoring models Ability to quickly understand technical systems, architecture and constraints Strong experience using data to inform decisions and improve live products Ability to balance fraud prevention, user experience and operational cost Strong stakeholder management and communication skills Experience working in agile, multidisciplinary teamsThis is an opportunity to work on a complex and meaningful product area where your decisions will have a direct impact on fraud prevention, user protection and service performance Only candidates based in UK and eligible to work in UK are allowed
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