Data Analyst - Financial Crime
HybridMadrid, Madrid, Spain
Job Summary
Design and maintain data models for transaction monitoring, customer risk assessment, and financial crime investigations. Own end-to-end delivery of analytics solutions, including requirements gathering, data extraction, transformation, validation, and deployment. Develop detection logic and monitoring rules for transaction scenarios and behavioral patterns while building Sigma dashboards to support alert triage and risk workflows. Collaborate with investigators and compliance analysts to identify data gaps and deliver actionable insights, ensuring dataset completeness and accuracy. Contribute to the automation of screening and alert handling processes. Join a team focused on enabling effective risk detection and operational efficiency across multiple jurisdictions.
Required Qualifications
- 2-4 years Experience in Data/Business Analytics
- Advanced SQL skills
- Solid understanding of financial crime frameworks
- Strong analytical thinking with focus on data quality, controls, and risk interpretation
- Ability to translate regulatory and compliance requirements into data logic
- Fluency in English
Desired Qualifications
- Experience within FinCrime, Compliance, Risk, or Financial Services
- Experience with our modern data stack tools: dbt, Google Cloud BigQuery, Sigma, Git
- Experience building data pipelines, transformations, and analytical datasets
- Experience working with Python
- Knowledge of payment flows, FX, or banking products
- Experience working with transaction monitoring systems or alerting frameworks
- Spanish language ability
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