Data Analyst - Financial Crime

Location:

Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week

Ebury’s strategic growth plan would not be possible without our Data Analytics & Anti-Money Laundering teams and we are seeking a Data Analyst to join our Financial Crime domain!

Our 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 global entities.

• Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations.
• Own end‑to‑end delivery of Fin Crime 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 Fin Crime datasets.
• Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows.
• Collaborate with investigators and compliance analysts to identify data gaps and deliver actionable insights.
• Contribute to the automation and continuous improvement of Fin Crime processes (screening, monitoring, alert handling).

• 2-4 years Experience in Data/Business Analytics – preferably within Fin Crime, Compliance, Risk, or Financial Services
  .
• Advanced SQL skills – able to read and write queries across complex datasets.
• Experience with our modern data stack tools is a plus:
  dbt, Google Cloud Big Query, Sigma, 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 thinking with focus on data quality, controls, and risk interpretation.
• Experience working with transaction monitoring systems or alerting frameworks is a plus.
• Ability to translate regulatory and compliance requirements into data logic.
• Fluency in English (Spanish, a plus).

• Competitive salary conditions.
• Private health insurance, gympass and access to Meditopia.
• Support to progress your career in the Data & Analytics world.
• Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack.
• Flexible workplace environment (hybrid model, 4 days office / 1 day remote).
• 23 days of annual leave plus your birthday off and all the Málaga/Madrid public holidays.
• Fun in‑person off‑sites and virtual get‑togethers.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.