FinCrime Data Analyst - Hybrid: Risk & Reporting

Ebury; Málaga, Madrid; Híbrido; EUR 36.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary conditions

Private health insurance

Gympass and Meditopia access

Career progression in Data & Analytics

Hybrid work model

23 days annual leave + birthday off

Descripción de la vacante

Ebury is seeking a Data Analyst to join the FCC Reporting team in Málaga or Madrid, hybrid work: 4 days in the office and 1 day remote per week. You will help enable effective risk detection, monitoring and regulatory reporting through robust data models and scalable analytics.

The role focuses on building data-driven controls, dashboards, and automated reporting, collaborating with Compliance, Risk and Product across jurisdictions. 2–5 years in analytics and strong SQL are expected.

Formación

• 2-5 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
• Advanced SQL skills – able to read and write queries across complex datasets.
• Experience with our modern data stack tools: dbt, Google Cloud BigQuery, Looker / Looker Studio, 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.
• Strong analytical thinking with focus on data quality, controls, and risk interpretation.
• 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)

Responsabilidades

• Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, 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 tools for monitoring risk exposure, alerts, and investigation pipelines.
• Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
• Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).

Conocimientos

SQL

FinCrime analytics

Data modeling

Data pipelines

Python

Looker / Looker Studio

Data storytelling

Herramientas

dbt

Google Cloud BigQuery

Looker Studio

Git

Descripción del empleo

Ebury is seeking a Data Analyst to join the FCC Reporting team in Málaga or Madrid, hybrid work: 4 days in the office and 1 day remote per week. You will help enable effective risk detection, monitoring and regulatory reporting through robust data models and scalable analytics.

The role focuses on building data-driven controls, dashboards, and automated reporting, collaborating with Compliance, Risk and Product across jurisdictions. 2–5 years in analytics and strong SQL are expected.