3 of 3 Permanent Fraud Detection Jobs in Manchester

and are passionate about building and protecting the financial infrastructure that powers the UK's best and brightest businesses. In a nutshell, the mission of a Technical AML/Fraud Analyst is to lead the development and optimisation of rule-based fraud detection systems-primarily in Feedzai-by designing scalable, proactive, and data-driven frameworks that secure … the bank while enabling growth. Are you ready to step up to the challenge? Responsibilities: Own the design, configuration, and optimisation of the Feedzai fraud prevention platform, tailoring it to meet OakNorth's strategic needs. Collaborate cross-functionally with Compliance, Engineering, and Operations to ensure robust AML, Sanctions, and fraud mitigation strategies are embedded bank-wide. Lead the … creation of a new methodology for building and testing rulesets across Fraud and AML transaction monitoring systems. Zero-base our rules engine to support scale, efficiency, and agility-your work will help us grow and reduce risk at the same time. Identify inefficiencies and propose scalable improvements across current AML, TM, and fraud detection logic. Assess existing More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

and PSP licensing. Proven success leading large-scale B2B financial product initiatives. Technical fluency in API-first architecture, and ideally exposure to AI/ML tools for predictive finance, fraud detection, and reconciliation. Strong communicator and relationship-builder with the ability to influence at all levels. Desirable experience: Previous exposure to regulated sectors such as fintech or B2B More ❯