Data Analyst - FinCrime Reporting

• 2-5 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, 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 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 public holidays.
• Fun in-person off-sites and virtual get-togethers
• Personal development including language courses

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.

Ebury's strategic growth plan would not be possible without our Data Analytics & Compliance team and we are seeking a Data Analyst to join our Regulatory FinCrime Compliance domain!

Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high quality reporting.

The team works closely with Compliance, Risk and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.

Projects range from building curated data models to cover global key risk indicators for financial crime compliance and automating into standardised board packs, to scaling our regulatory reporting engine to incorporate datasets specific to transaction monitoring, screening and client KYC.

• 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).

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