Data Analyst - Financial Crime

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

Build and maintain data models and datasets that power transaction monitoring, customer risk assessment, and financial crime investigations across multiple jurisdictions. Own end-to-end delivery of FinCrime analytics solutions—from requirements and data extraction through transformation, validation, and deployment. Develop detection logic and monitoring rules, perform data quality controls, and create Sigma dashboards to support investigations and alert triage. Collaborate with investigators and Compliance analysts to deliver actionable insights and improve FinCrime processes.

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FursaFursa
Ebury
Ebury
8 hours ago

Data Analyst - Financial Crime

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and maintain data models and datasets that power transaction monitoring, customer risk assessment, and financial crime investigations across multiple jurisdictions. Own end-to-end delivery of FinCrime analytics solutions—from requirements and data extraction through transformation, validation, and deployment. Develop detection logic and monitoring rules, perform data quality controls, and create Sigma dashboards to support investigations and alert triage. Collaborate with investigators and Compliance analysts to deliver actionable insights and improve FinCrime 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, extraction, transformation, validation, and deployment.
  • •Develop and optimize detection logic and monitoring rules such as 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 for 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 to read and write queries across complex datasets.
  • •Experience with modern data stack tools (dbt, Google Cloud BigQuery, Sigma, Git) is a plus.
  • •Experience building data pipelines, transformations, and analytical datasets.
  • •Solid understanding of financial crime frameworks; experience with transaction monitoring or alerting frameworks is a plus.
Experience:2-4 yearsFinancial crimeFinancial servicesComplianceRiskData analyticsAnti-money laundering (AML)
Skills:Analytical thinkingData quality focusCollaborationRisk interpretationAttention to auditability
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