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Ebury

Data Analyst - Fincrime Reporting

  • Hybrid
  • 3-6 years
  • English (B2)

Salary

Not stated

Similar roles pay €25K - 60K a year · our estimate

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Description

The company helps businesses run and grow across borders, offering business accounts, hedging and financing on one platform. It was founded in 2009, now has over 2,000 staff in nearly 70 cities, and builds its own cash flow platform.

You would join the Data Analytics and Compliance team, which supports the Regulatory FinCrime Compliance area. The team works with Compliance, Risk and Product to design data-driven controls, detection tools and investigation tools across several jurisdictions.

The work covers curated data models for global financial crime risk indicators, standardised board packs, and extending the regulatory reporting engine with transaction monitoring, screening and client KYC data.

Role based in Málaga or Madrid, Spain. Hybrid: 4 days in the office and 1 day from home each week.

Responsibilities

  • Design and maintain the data models and datasets used for transaction monitoring, customer risk scoring and financial crime investigations.
  • Take FinCrime analytics projects from start to finish: gathering requirements, extracting and transforming data, validating it and deploying the result.
  • Build and tune detection logic and monitoring rules, such as transaction monitoring scenarios, anomaly detection and behavioural patterns.
  • Run data quality checks and controls so FinCrime datasets are complete, accurate and auditable.
  • Create dashboards and analytical tools in Looker, Looker Studio or similar to track risk exposure, alerts and investigation pipelines.
  • Support regulatory and internal audits by documenting data lineage, methods and controls.
  • Help automate and improve FinCrime processes, including screening, monitoring and alert handling.

Requirements

  • 2-5 years of experience in data or business analytics, ideally in FinCrime, compliance, risk or financial services.
  • Advanced SQL, with the ability to write and read queries over complex datasets.
  • Experience building data pipelines, transformations and analytical datasets.
  • A solid grasp of financial crime frameworks.
  • Strong analytical skills, with a focus on data quality, controls and interpreting risk.
  • Ability to turn regulatory and compliance requirements into data logic.
  • Fluent English.
  • Nice to have: dbt, Google Cloud BigQuery, Looker or Looker Studio, and Git.
  • Nice to have: Python.
  • Nice to have: knowledge of payment flows, FX or banking products.
  • Nice to have: experience with transaction monitoring systems or alerting frameworks.
  • Nice to have: Spanish.

Conditions

Hybrid schedule: 4 days in the office and 1 day remote per week.

Based in Málaga or Madrid, Spain.

The company only accepts applications through its official channels and contacts candidates only from an company's site address. It never asks for payment during recruitment.

The company uses AI tools for administrative tasks only; all hiring decisions are made by people.

The company is committed to equal opportunity and rejects discrimination in all forms.

Benefits

  • Competitive salary.
  • Private health insurance, Gympass and access to Meditopia.
  • 23 days of annual leave, a day off for your birthday and all public holidays in Málaga.
  • Support for career progression in data and analytics.
  • Personal development, including language courses.
  • Work on a new data infrastructure built on a modern data stack.
  • In-person off-sites and virtual get-togethers.

Where you’d work

Part of the week in the office

About the company

Ebury

  • Industry: FinTech

Office in Madrid, Spain

Also hiring in Antwerp, Belgium, Brussels, Belgium, Porto, Portugal and 16 more places

1 of their 43 open roles is remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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Details11 facts · Role, Location, Compensation, Company, Requirements
Tech stack
  • Python
  • SQL
  • Google Cloud
  • dbt
  • Looker
  • BigQuery
Industry
FinTech
Specialty
Data Analyst
Region
Europe
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
5+ years
Tech stack
  • Python
  • SQL
  • Google Cloud
  • dbt
  • Looker
  • BigQuery

Location

Work model
Hybrid
Region
Europe
Office
  • Madrid, Spain

Compensation

Salary
Salary by agreement
Pay period
Annual

Company

Industry
FinTech

Requirements

Languages
  • English (B2)

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