Data Analyst - Financial Crime

Ebury; Madrid; Presencial; EUR 35.000 - 55.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Gympass

Language courses

23 days annual leave

Fun in-person off‑sites

Descripción de la vacante

Ebury is hiring a Data Analyst for Financial Crime in Málaga or Madrid. This role is hybrid, entailing 4 days in-office and 1 day remote weekly. You'll design data models, deliver analytics solutions, and ensure data quality.

The ideal candidate has 2-4 years of experience in Data Analytics, advanced SQL skills, and familiarity with financial crime frameworks. Benefits include competitive salary, private health insurance, and support for career growth.

Formación

• 2-4 years in Data/Business Analytics, preferably in FinCrime or Risk.
• Advanced SQL skills to read and write queries across complex datasets.
• Experience building data pipelines and analytical datasets.

Responsabilidades

• Design and maintain data models for transaction monitoring.
• Own delivery of FinCrime analytics solutions from requirements to deployment.
• Develop detection logic and optimize monitoring rules.

Conocimientos

Data Analytics

SQL

Financial Crime

Python

Analytical Thinking

Herramientas

dbt

Google Cloud BigQuery

Sigma

Git

Descripción del empleo

Data Analyst - Financial Crime

Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week

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.

Responsibilities

• 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 tools in Sigma to support investigations, alert triage, and risk assessment workflows.
• Collaborate with investigators and compliance analysts to identify data gaps and deliver actionable insights.
• Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).

What we’re looking for

• 2-4 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 is a plus: dbt, Google Cloud BigQuery, Sigma, 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).

Benefits

• Competitive salary conditions.
• Private health insurance, gympass and access to Meditopia.
• Support to progress your career in the Data & Analytics world.
• Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack.
• Flexible workplace environment (hybrid model, 4 days office / 1 day remote).
• 23 days of annual leave plus your birthday off and all the Málaga/Madrid public holidays.
• Fun in-person off‑sites and virtual get‑togethers.
• Personal development including language courses.