Experteer Overview

Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción.

In this role, you will enable effective FinCrime risk detection and regulatory reporting through robust data models, scalable analytics, and high-quality dashboards. You’ll partner with Compliance, Risk and Product to build data-driven controls across jurisdictions, shaping how we monitor financial crime and report to boards. You will own end-to-end analytics delivery and drive automation to improve FinCrime processes in a fast-growing fintech.

This is a hands-on role with real impact on risk visibility and regulatory compliance.

Compensaciones / Incentivos

- Design and maintain data models and datasets for transaction monitoring, customer risk scoring, and investigations
- Own end-to-end delivery of FinCrime analytics solutions (requirements, extraction, transformation, validation, deployment)
- Develop and optimise detection logic and monitoring rules (transactions, anomalies, behavioural patterns)
- Perform data quality checks to ensure completeness, accuracy and auditable FinCrime datasets




- Build dashboards/tools (Looker / Looker Studio or similar) to monitor risk exposure, alerts and investigations
- Support regulatory and internal audits with traceability of data, methodologies and controls
- Contribute to automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling)

Responsabilidades

- 2-5 years experience in Data/Business Analytics (FinCrime, Compliance, Risk, or Financial Services)
- Advanced SQL skills (read/write across complex datasets)
- Experience with modern xugodme data stack tools (dbt, Google Cloud BigQuery, Looker / Looker Studio, Git)
- Experience building data pipelines and analytical datasets
- Solid understanding of financial crime frameworks
- Experience with Python desirable
- Knowledge of payments flows, FX, or banking products desirable
- Fluency in English (Spanish a plus)

Requisitos principales

- Competitive salary
- Private health insurance
- Gympass
- Meditopia access
- Flexible hybrid work
- 23 days annual leave + birthday off

📌 Data Analyst - Fincrime Reporting (Madrid)
🏢 Ebury
📍 Madrid