Hybrid opportunity at
EburyData Analyst - Fincrime Reporting
Ebury is seeking a Data Analyst to join its Regulatory FinCrime Compliance domain within the Data Analytics & Compliance team. Established in 2009, Ebury delivers financial…
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About This Role
Ebury is seeking a Data Analyst to join its Regulatory FinCrime Compliance domain within the Data Analytics & Compliance team. Established in 2009, Ebury delivers financial solutions such as business accounts, hedging, and financing through a single platform to help businesses operate and scale globally. Operating across nearly 70 cities with over 2,000 employees, the company relies on its proprietary infrastructure to support borderless growth. In this hybrid role based…
Job Description
Ebury is seeking a Data Analyst to join its Regulatory FinCrime Compliance domain within the Data Analytics & Compliance team. Established in 2009, Ebury delivers financial solutions such as business accounts, hedging, and financing through a single platform to help businesses operate and scale globally. Operating across nearly 70 cities with over 2,000 employees, the company relies on its proprietary infrastructure to support borderless growth.
In this hybrid role based in Málaga or Madrid, Spain, the professional will work four days in the office and one day from home per week. The position involves designing data models, building analytical datasets, and managing the end-to-end delivery of financial crime analytics solutions. The analyst will collaborate closely with compliance, risk, and product departments to support transaction monitoring, customer risk scoring, and internal or regulatory audits.
This position is suited for analytics professionals with two to five years of experience in data or business analytics, specifically within compliance, financial services, risk, or financial crime sectors. Candidates should possess advanced SQL skills, experience building data pipelines and transformations, and a strong understanding of financial crime frameworks. Additional familiarity with Python, modern data stack tools, payment flows, foreign exchange, or banking products is beneficial.
Responsibilities
- Design and maintain data models and datasets utilized for customer risk scoring, transaction monitoring, and financial crime investigations
- Manage the end-to-end delivery of financial crime analytics solutions encompassing requirements gathering, transformation, extraction, validation, and deployment
- Develop and optimize detection logic and monitoring rules including anomaly detection, behavioral patterns, and transaction monitoring scenarios
- Conduct data quality checks and controls to guarantee the accuracy, completeness, and auditability of financial crime datasets
- Construct dashboards and analytical tools using applications like Looker or Looker Studio to track risk exposure, investigation pipelines, and alerts
- Assist with internal and regulatory audits by supplying traceability of data, controls, and methodologies
- Contribute to process automation and continuous improvement for monitoring, screening, and alert handling
Requirements
- Two to five years of experience in data or business analytics, preferably in risk, compliance, financial crime, or financial services
- Advanced SQL skills with the ability to read and write queries across complex datasets
- Experience building data pipelines, analytical datasets, and transformations
- Solid understanding of financial crime frameworks
- Ability to translate compliance and regulatory requirements into data logic
- Fluency in English
Qualifications
- Experience with modern data stack tools such as Google Cloud BigQuery, dbt, Git, and Looker or Looker Studio
- Desirable experience working with Python
- Knowledge of banking products, foreign exchange, or payment flows
- Prior experience working with alerting frameworks or transaction monitoring systems
- Proficiency in Spanish
Core Skills
Benefits
- Competitive salary conditions
- Private health insurance
- Gympass access
- Access to Meditopia
- Career progression support within the data and analytics sector
- Flexible hybrid workplace model with four days in the office and one day working from home
- 23 days of annual leave
- Birthday off
- Paid Málaga public holidays
- In-person off-sites and virtual get-togethers
- Personal development including language courses
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located and is it remote?
This position is located in Málaga or Madrid, Spain, operating on a hybrid schedule that requires four days in the office and one day working from home each week.
What experience is required for this role?
Applicants must have two to five years of experience in data or business analytics, ideally within financial crime, compliance, risk, or financial services, along with advanced SQL skills and a solid understanding of financial crime frameworks.
What is the employment type?
The source posting does not specify the exact employment type.
How much does this position pay?
The specific salary amount is not stated in the job posting, though it mentions competitive salary conditions.
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