Senior Analytics Manager

We are seeking a senior Analytics Manager–level consultant with exceptionally strong analytical capabilities to support fraud risk management within a fast-moving financial services environment.This assignment is analysis-driven, not experience-driven alone. While prior fraud domain exposure is important, the primary success factor is the consultant’s ability to deeply analyse data, identify patterns, challenge assumptions, and generate actionable insights. Fraud scenarios vary continuously, and this role requires intellectual rigor, curiosity, and strong problem-solving skills rather than reliance on predefined fraud playbooks.Start: ASAPDuration: Until Further NoticeLocation: Stockholm or LondonAssignment PurposeThe consultant will strengthen the Operational Risk / Fraud Risk function by leading data-driven fraud risk analysis across a global product portfolio. The role focuses on understanding fraud risk performance, detecting emerging threats, and assessing the effectiveness of fraud controls through independent analysis and testing.Key ResponsibilitiesLead in-depth analysis of structured and unstructured data to monitor fraud risk performance and identify emerging fraud trendsDeliver clear, actionable insights to senior stakeholders based on analytical findingsPerform independent control testing and process reviews to assess the adequacy and effectiveness of fraud prevention and detection measures in the first line of defenseConduct independent consumer sample testing to validate fraud outcomes and controlsAnalyse fraud-related policies, rules, and detection logic to identify gaps and emerging risk patternsCollaborate closely with:Fraud strategy teamsEngineering and data science teamsCustomer service and operationsSupport regulatory and risk reporting through high-quality analytical inputPartner with first-line stakeholders to continuously improve the fraud risk frameworkStay ahead of external fraud vectors, market developments, and evolving fraud methodologiesRequired Competence & ExperienceMust-HaveMinimum 5 years of experience in fintech, banking, or consulting, with exposure to fraud and/or risk managementExceptional analytical skills, with proven ability to independently analyse complex datasetsStrong experience performing data-driven fraud analysis, not just operational fraud handlingDemonstrated ability to lead fraud risk initiatives through insight and analysisExperience conducting independent control testing and process reviewsStrong understanding of risk management and regulatory expectationsExcellent communication and stakeholder management skillsMeritorious / Nice-to-HaveProfessional certifications such as CFE, CRCMP, or similarExperience working with machine learning models or fraud detection algorithmsBackground in consumer lending or card fraudAbility to design solutions to complex analytical problems under real business constraintsExperience working in rapidly changing or high-growth fintech environmentsConsultant Profile

• What Success Looks LikeExtremely strong analytical mindset; comfortable working with ambiguityCurious, structured, and able to challenge existing assumptionsCapable of translating complex data into clear risk insightsConfident working independently while collaborating across multiple functionsPragmatic and impact-driven, with a strong sense of ownership