FinCrime Data Analyst: Regulatory Reporting & Insights

Ebury; Madrid; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Private health insurance

Gympass

Meditopia access

Flexible hybrid work

23 days annual leave

Job summary

Ebury helps ambitious businesses unlock global growth and we value collaboration, problem-solving and belonging. The Data Analyst - FCC Reporting sits in our Regulatory FinCrime Compliance domain, collaborating with Compliance, Risk and Product to build scalable analytics and robust reporting.

You will design data models, own end-to-end FinCrime analytics delivery, develop detection logic, and build dashboards (Looker/Looker Studio) to monitor risk and support audits across multiple

Qualifications

• 2-5 years Experience in Data/Business Analytics – FinCrime, Compliance, Risk, or Financial Services.
• Advanced SQL skills – read and write queries across complex datasets.
• Experience with modern data stack tools: dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.

Responsibilities

• Design and maintain data models and datasets used for transaction monitoring and risk scoring.
• Own end-to-end delivery of FinCrime analytics solutions: requirements, extraction, transformation, validation, deployment.
• Develop and optimise detection logic and monitoring rules for monitoring scenarios and anomaly detection.
• Perform data quality checks and controls for FinCrime datasets.

Skills

SQL

Python

Data analysis

Data quality

Regulatory knowledge

English fluency

Tools

dbt

BigQuery

Looker Studio

Git

Job description

Ebury helps ambitious businesses unlock global growth and we value collaboration, problem-solving and belonging. The Data Analyst - FCC Reporting sits in our Regulatory FinCrime Compliance domain, collaborating with Compliance, Risk and Product to build scalable analytics and robust reporting.

You will design data models, own end-to-end FinCrime analytics delivery, develop detection logic, and build dashboards (Looker/Looker Studio) to monitor risk and support audits across multiple