Data Analyst - Financial Crime

Sobre el puesto

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

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.

As part of the team you will

• Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, 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 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 FinCrime processes (screening, monitoring, alert handling).

What we’re looking for

• 2-4 years 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 our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Sigma, Git.

• Experience building data pipelines, transformations, and analytical datasets.