Data Analyst – FinCrime Reporting
Location: Málaga or Madrid (Spain) – Hybrid: 4 days in the office, 1 day working from home per week
Job Overview
Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high‑quality reporting. As a key member of the Data Analytics & Compliance team, you will design and deliver data‑driven controls and investigative tools across multiple jurisdictions.
Responsibilities
- Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, and financial crime investigations.
- Own end‑to‑end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
- Develop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns).
- Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.




- Build dashboards and analytical tools (Looker / Looker Studio or similar) for monitoring risk exposure, alerts, and investigation pipelines.
- Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
- Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).

Qualifications
- 2‑5 years of experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
- Advanced SQL skills – able to read and write queries across complex datasets.
- Experience with modern data stack tools such as dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.
- Experience building data pipelines, transformations, and analytical datasets.
- Solid understanding of financial crime frameworks.
- Experience working with Python is desirable.
- Knowledge of payment flows, FX, or banking products is desirable.
- Strong analytical thin

📌 Data Analyst (España)
🏢 Ebury
📍 España