Role Overview
Join Ebury’s Data Analytics & Anti-Money Laundering teams as a Data Analyst to help transform how businesses operate globally. 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.
What You Will Do
Design and maintain data models and datasets, own end-to-end delivery of FinCrime analytics solutions, develop and optimise detection logic and monitoring rules, perform data quality checks, and build dashboards and analytical tools.
Why It Might Be a Fit
2-4 years of experience in Data/Business Analytics, advanced SQL skills, experience with modern data stack tools, and strong analytical thinking with focus on data quality, controls, and risk interpretation.
Requirements
- 2-4 years of experience in Data/Business Analytics
- Advanced SQL skills
- Experience with modern data stack tools (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
- 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)
Benefits
- Competitive salary conditions
- Private health insurance
- Gympass
- Access to Meditopia
- Support to progress your career in the Data & Analytics world
- 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
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