5 of 5 Permanent Fraud Detection Jobs in the North West

We’re looking for a Senior Fraud Analyst to join our Credit Risk team This is a key role in the Financial Services business with responsibility for helping to drive fraud strategy to protect the business from fraud and other financial crime. To achieve this, you will be an experienced fraud strategy professional who is highly … data literate, with good knowledge of platforms and techniques to combat fraud and other financial crime, and also have a good understanding of the interplay between minimising fraud and maximising sales. This role is ideal for somebody with experience working within an analytical fraud strategy role who is wanting to make the step up to a senior … analyst position You would report to the Senior Manager Fraud Strategy who is responsible for fraud and financial crime strategy. In the role you would work closely with other teams in the wider organisation, e.g. New Business Risk, Customer Operations, Warehouse Operations, Risk and Compliance and Digital Technology A key pillar of our Group Strategy is the creation More ❯

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 ❯

combines strong technical expertise with relationship management, and a deep understanding of customer operational challenges. Technical Skills/Experience Strong background in software configuration and system optimisation. Experience with fraud detection, risk management, security analytics or CCTV platforms. Proficiency in troubleshooting complex technical systems including the ability to read and interpret software logs. Ability to research and propose … preferred but not essential, practical experience and problem-solving skills are prioritized over specific degrees. Experience in enterprise-level application deployment. Background in retail loss prevention, security systems, or fraud detection preferred. Key Responsibilities Configure and deploy software tailored to customer needs. Optimise system performance and troubleshoot technical issues. Collaborate with clients to understand operational challenges and design 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 ❯