Data Analyst – Financial Crime

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

Tagged as: Data Analysis