Data Analyst - Financial Crime

Ebury
Malaga, Madrid
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 2-4 yearsSkills: ["Collaboration","Analytical thinking","Problem-solving","Data quality focus","Risk interpretation"]

Join the Data Analytics & Anti-Money Laundering teams within Financial Crime to enable effective risk detection and operational efficiency. Design and maintain data models for transaction monitoring and customer risk assessment, deliver end-to-end FinCrime analytics (requirements, extraction, transformation, validation, deployment), optimize detection logic and monitoring rules, and build Sigma dashboards to support investigations and alert triage. Collaborate with investigators and compliance analysts to close data gaps and improve processes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Ebury
Ebury
1 month ago

Data Analyst - Financial Crime

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Join the Data Analytics & Anti-Money Laundering teams within Financial Crime to enable effective risk detection and operational efficiency. Design and maintain data models for transaction monitoring and customer risk assessment, deliver end-to-end FinCrime analytics (requirements, extraction, transformation, validation, deployment), optimize detection logic and monitoring rules, and build Sigma dashboards to support investigations and alert triage. Collaborate with investigators and compliance analysts to close data gaps and improve processes.
Location: Malaga, Madrid
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and maintain data models and datasets for transaction monitoring, customer risk assessment, and financial crime investigations.
  • •Own end-to-end delivery of FinCrime analytics solutions, including requirements gathering through deployment.
  • •Develop and optimize detection logic and monitoring rules for transaction monitoring scenarios, anomaly detection, and 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.

Pay and Benefits

Perks:Health InsuranceGym Membership

Key Requirements

  • •2-4 years of experience in data/business analytics, preferably within FinCrime, Compliance, Risk, or Financial Services.
  • •Advanced SQL skills for reading and writing queries across complex datasets.
  • •Experience with modern data stack tools including dbt, Google Cloud BigQuery, Sigma, and Git (plus).
  • •Experience building data pipelines, transformations, and analytical datasets.
  • •Solid understanding of financial crime frameworks; Python experience is desirable.
Experience:2-4 yearsFinancial servicesAnti-money launderingFinancial crimeComplianceRisk
Skills:CollaborationAnalytical thinkingProblem-solvingData quality focusRisk interpretation
Languages:EnglishSpanish
Tech Stack:SQLDbtGoogle Cloud BigQuerySigmaGitPython

Company Brief

Ebury
Provides international payments, FX, and treasury solutions for SMEs and mid-market companies, enabling cross-border transactions, multi-currency accounts, and financing services to support global trade and cash flow management.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2009
WebsiteLinkedIn