Ebury
FinTech
DataAnalyst-FinancialCrime
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst - Financial Crime at Ebury. Skills: Data Analytics, Financial Crime, SQL, Data Modeling. Design data models. Maintain data models”
Industry & Context.
Analytical thinking
What They're Looking For.
Must Have
2-4 years experience in Data Business Analytics, Advanced SQL skills, Experience building data pipelines, Experience building transformations, Experience building analytical datasets, Solid understanding of financial crime frameworks, Fluency in English
Nice to Have
Experience in FinCrime, Experience in Compliance, Experience in Risk, Experience in Financial Services, Experience with dbt, Experience with Google Cloud BigQuery, Experience with Sigma, Experience with Git, Experience working with Python, Knowledge of payment flows, Knowledge of FX, Knowledge of banking products, Analytical thinking, Focus on data quality, Focus on controls, Focus on risk interpretation, Experience with transaction monitoring systems, Experience with alerting frameworks, Ability to translate regulatory requirements, Ability to translate compliance requirements, Spanish fluency
What You'll Do.
Develop detection logic
Optimise detection logic
Develop monitoring rules
Optimise monitoring rules
Perform data quality checks
Perform data controls
Build analytical tools
Support investigations
Support risk assessment
Deliver actionable insights
Contribute to automation
Contribute to continuous improvement
How You'll Work.
Team & Collaboration
AML business teams; Compliance teams; Product teams; Investigators; Compliance analysts
Full Job Description
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 too
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