Opportunity at
EburyData Analyst - Fincrime Reporting
This hybrid data analyst role sits within Ebury's regulatory financial crime compliance area. The analyst is based in Malaga or Madrid, Spain, working four days in…
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About This Role
This hybrid data analyst role sits within Ebury's regulatory financial crime compliance area. The analyst is based in Malaga or Madrid, Spain, working four days in the office and one day from home each week. It is a full-time post in the Data Analytics and Compliance team, which creates data models, analytics and dependable reporting to spot financial crime risk and satisfy regulatory obligations. The analyst builds and maintains datasets…
Job Description
This hybrid data analyst role sits within Ebury's regulatory financial crime compliance area. The analyst is based in Malaga or Madrid, Spain, working four days in the office and one day from home each week. It is a full-time post in the Data Analytics and Compliance team, which creates data models, analytics and dependable reporting to spot financial crime risk and satisfy regulatory obligations.
The analyst builds and maintains datasets feeding payment monitoring, client risk scores and investigations into financial crime, and takes analytics projects from initial requirements through extraction, transformation, checks and release. Further duties include creating and refining detection logic and monitoring rules, running data quality controls that support completeness and audit trails, building dashboards in Looker or similar tools, supporting internal and regulatory audits, and helping to automate screening, monitoring and alert handling.
Applicants should bring two to five years in data or business analytics, ideally within financial crime, compliance, risk or financial services, along with advanced SQL and experience developing pipelines and analytical tables. Familiarity with dbt, BigQuery, Looker and Git is advantageous, and so are Python, experience with payment flows and currency or bank products, and experience with transaction monitoring tools. Ebury, founded in 2009, runs this work across several jurisdictions.
Responsibilities
- Build and maintain data models that feed payment monitoring, client risk scoring and investigations
- Own FinCrime analytics projects from requirements through to deployment
- Develop and refine detection logic and monitoring rules, including anomaly detection
- Run data quality and control checks that support accuracy and auditability
- Create dashboards that track risk exposure, alerts and investigation workflows
- Provide traceable data and methods for regulatory and internal audits
- Help automate screening, monitoring and alert handling
Requirements
- Two to five years in data or business analytics
- Advanced SQL for reading and writing queries over complex datasets
- Sound grasp of financial crime frameworks
- Experience building pipelines, transformations and analytical tables
- Analytical rigour focused on data quality, controls and interpreting risk
- Skill in turning regulatory requirements into data logic
- Fluent English
Qualifications
- dbt, Google Cloud BigQuery, Looker or Looker Studio, Git
- Python (desirable)
- Familiarity with payment flows, currency or bank products (desirable)
- Transaction monitoring or alerting system experience
- Spanish (a plus)
Core Skills
Benefits
- Competitive salary terms
- Private health cover, Gympass and access to Meditopia
- 23 days' annual leave, a birthday off and Malaga's public holidays
- Off-site events in person and online get-togethers
- Learning support, including language courses and career development
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The posting lists Malaga or Madrid in Spain, on a hybrid basis with four office days and one remote day per week.
What experience is required?
Two to five years in data or business analytics is required, with advanced SQL. Experience in financial crime, compliance or risk is preferred.
Is the salary stated?
The posting mentions competitive salary terms but does not give a figure.
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