ph3Data Analyst - Financial Crime /h3 pLocation: bMálaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week /b /p pOur data mission is to enable effective risk detection, monitoring and operational efficiency through robust data models, scalable analytics and high quality reporting. The team works closely with AML business teams, Compliance and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions. Projects range from building curated data models that power transaction monitoring and screening capabilities, to developing analytical frameworks for customer risk assessment, behavioural analysis, and investigation support across our general entities. /p h3Responsibilities /h3 ul liDesign and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations. /li liOwn end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment. /li liDevelop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns). /li liPerform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets. /li liBuild dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows. /li liCollaborate with investigators and compliance analysts to identify data gaps and deliver actionable insights.



/li liContribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling). /li /ul h3What we’re looking for /h3 ul li2-4 years Experience in Data/Business Analytics – preferably within bFinCrime, Compliance, Risk, or Financial Services /b. /li liAdvanced bSQL skills /b – able to read and write queries across complex datasets. /li liExperience with our modern data stack tools is a plus: bdbt, Google Cloud BigQuery, Sigma, Git /b. /li liExperience building data pipelines, transformations, and analytical datasets. /li liSolid understanding of bfinancial crime frameworks /b. /li liExperience working with Python is desirable. /li liKnowledge of payment flows, FX, or banking products is desirable. /li liStrong analytical thinking with focus on data quality, controls, and risk interpretation. /li liExperience working with transaction monitoring systems or alerting frameworks is a plus. /li liAbility to translate regulatory and compliance requirements into data logic. /li liFluency in English (Spanish, a plus). /li /ul h3Benefits /h3 ul liCompetitive salary conditions. /li liPrivate health insurance, gympass and access to Meditopia. /li liSupport to progress your career in the Data Analytics world. /li liWork in a collaborative environment and contribute to a new data infrastructure built on a modern data stack. /li liFlexible workplace environment (hybrid model, 4 days office / 1 day remote). /li li23 days of annual leave plus your birthday off and all the Málaga/Madrid public holidays. /li liFun in-person off‑sites and virtual get‑togethers. /li liPersonal development including language courses. /li /ul /p #J-18808-Ljbffr

📌 Data Analyst - Financial Crime (Madrid)
🏢 Ebury
📍 Madrid