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.

Requirements

gathering, data extraction, transformation, validation, and deployment. 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).

into data logic. Fluency in English (Spanish, a plus). What Ebury offers you 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.

Personal development including language courses. #LI-JC1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

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. 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.