Requirements
What we are looking for3+ years in data analytics within fraud, financial crime or banking operationsStrong SQL - essential and tested at screeningPython or R - a strong plusBI and visualisation tools (Power BI, Tableau or equivalent) - dashboards you have built, not viewedFamiliarity with fraud detection platforms and alert data structures (FICO Falcon, NICE Actimize, SAS or equivalent environments) - enough to interrogate their output and support tuningClear English and the ability to present analysis to senior stakeholdersA passport with 12+ months' validity remainingImmediate or short-notice availability strongly preferredEngagement details6-month consultancy agreement with Capitex, with extension possible on client renewalCompetitive all-inclusive monthly consultancy fee, with housing allowance and flight covered for the onsite phaseVisa and work authorisation for the onsite phase arranged and sponsoredLaptop provided
Description
About the engagementCapitex is a specialist Financial Crime Compliance talent provider. We are hiring a Fraud Data Analyst for a 6-month contract supporting the 24/7 fraud operation of a leading international banking client.The shape of the engagement: the first phase is delivered fully remote from the UK. From Month 3, the engagement moves onsite with the client overseas, with relocation fully supported - flight, visa sponsorship and a housing allowance on top of your fee. Location specifics are shared at screening stage. Onsite participation from Month 3 is a firm requirement of the role, not a preference - please only apply if a supported working stint abroad genuinely works for you.The roleYou will be the analytical engine of the fraud operations team - working alongside L1 and L2 fraud analysts and a senior fraud investigator, and acting as the bridge between what the operation sees and what the detection estate does.Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive driversSupport rule and threshold tuning on the client's fraud monitoring platform - build the evidence base, model the impact, document proposed changesDesign and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented lossesBuild and maintain dashboards and recurring reporting for fraud leadershipSupport post-incident and thematic reviews with data deep-divesContribute to knowledge transfer and coaching of the client's analyst team