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Job Description Senior Expert Fraud Data AnalystLocation: SolihullSalary: 45k - 55KContract Type: PermanentWorking Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday Friday)Note: Candidates MUST come from a Financial Services background.Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals? Were looking for a Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions.This is more than just a reporting role it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real commercial impact.What Youll DoOwn and evolve the fraud detection and prevention strategy for your assigned product line.Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules.Design and implement tactical initiatives to combat emerging fraud types.Translate fraud insights into operational policies and support cross-functional teams in delivery.Lead the development of fraud intelligence reporting to highlight risks and support change.Act as a subject matter expert, mentoring junior analysts and advising key stakeholders.Collaborate with fraud operations, product teams, and tech to influence system and process design.Keep senior leaders informed through regular KPI updates, dashboards, and insights.What Were Looking ForWere seeking an analytical thinker whos naturally curious, proactive, and solutions-focused. Youll need to demonstrate:Essential:Strong experience in fraud analytics within the financial services or personal finance industryProven technical skills using SAS, SQL, or Python for data mining and analysisKnowledge of fraud detection systems such as Falcon, Hunter, or similarAbility to interpret data trends and translate them into an actionable fraud strategyStrong communication skills, able to influence at all levelsTeam player with a mentoring mindsetDesirable:Experience managing a fraud analytics functionUnderstanding of data warehousing systems and architecturePrevious experience writing or managing rule-based systems for fraud detectionWhy Join Us?Be part of a mission-critical team driving real-world impact in fraud preventionWork in a supportive, forward-thinking environment where your ideas shape outcomesAccess to professional development, training, and career progressionCompetitive salary, benefits, and flexibilityReady to take the next step?If youre passionate about fraud prevention and have the analytical toolkit to back it up, we want to hear from you.The Curve Group is a Recruitment Services and Human Resources business with a mission to transform the working lives of the people and organisations we work with. We collect and process your personal data for the purpose of providing recruitment and related HR services, in line with our legitimate business interests and legal obligations. We will retain your data for two years from the last point of contact, after which it will be securely deleted unless you request otherwise. For more details about how we handle your personal data and your rights, please see our full Privacy Policy on our website.