Financial Crime Intelligence Analyst — Data & Insights

Worldline

Warszawa

Hybrid

PLN 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Private medical & life insurance
MyBenefit Platform
Holiday allowance
Referral program
Public transportation allowance
Meal allowance
Annual bonus

Job summary

Worldline is seeking a Financial Crime Intelligence Officer - Data Analysis in Warsaw to transform diverse data into actionable intelligence. You will work with groups across the organisation to identify threats, improve reporting and support senior decision-making.

The role emphasizes data-driven insights, KRIs and cross‑functional collaboration in a payments technology context. The position involves handling large data sets, developing reporting capabilities and monitoring evolving financial

Qualifications

  • Experience handling large and complex data sets from multiple sources.
  • Ability to interpret structured and unstructured financial crime data.
  • Experience developing KRIs, KPIs and intelligence-led reporting.
  • Ability to identify trends, anomalies and patterns in data.
  • Knowledge of AML/CFT frameworks and transaction monitoring.

Responsibilities

  • Obtain, consolidate and analyse financial crime data from multiple sources.
  • Conduct thematic analysis related to AML, sanctions, fraud and insider threat.
  • Produce intelligence-led reporting, dashboards and executive MI.
  • Identify emerging financial crime risks and control weaknesses.
  • Analyse cross-functional intelligence to spot systemic risks.
  • Support development of intelligence-led reporting frameworks.
  • Engage with stakeholders to improve reporting consistency.

Skills

Power BI
Tableau
Excel
SQL
Data visualization
Data storytelling

Tools

Power BI
Tableau
Excel
SQL

Job description

Worldline is seeking a Financial Crime Intelligence Officer - Data Analysis in Warsaw to transform diverse data into actionable intelligence. You will work with groups across the organisation to identify threats, improve reporting and support senior decision-making.

The role emphasizes data-driven insights, KRIs and cross‑functional collaboration in a payments technology context. The position involves handling large data sets, developing reporting capabilities and monitoring evolving financial

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