Fraud Data Analyst (Banking)

You will be the analytical engine of the fraud operations team: turning alert, transaction and case data into detection improvements, management information and tuning decisions. You will work under the bank's direction, alongside Capitex L1 and L2 analysts and a senior fraud investigator, and be the bridge between what the operation sees and what the detection estate does. WHAT YOU WILL DO - Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive drivers. - Support rule and threshold tuning on the bank's fraud monitoring platform - build the evidence base, model the impact, and document proposed changes for the bank's approval. - Design and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented losses, shift-level throughput. - Build and maintain dashboards and recurring reporting for the fraud operations leadership team. - Support post-incident and thematic reviews with data deep-dives. - Work with L2 and the senior investigator to convert case observations into measurable detection improvements. Desired Candidate Profile 3+ years in data analytics within fraud, financial crime or banking operations. - Strong SQL is essential; Python or R for analysis is a strong plus. - Experience with BI/visualisation tools (Power BI, Tableau or equivalent) and building operational dashboards. - Familiarity with fraud detection platforms and alert data structures (FICO Falcon, Actimize, SAS or equivalent) - enough to interrogate their output and support tuning. - Ability to present analysis clearly to operational and senior stakeholders in English. - Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.