# Financial Crime Intelligence Officer - Data Analysis at Worldline

Worldline is hiring a Financial Crime Intelligence Officer - Data Analysis in Warsaw, Poland. Level rates it Little AI ●○○○; you can [apply on Worldline](https://jobsbylevel.com/go/bce4e1f2-7b8f-421b-a763-ecb86acc4ca4?utm_medium=ai-agent).

AI Level 1, AI centrality 30 out of 100. Poland-Warsaw.

## Details

- Company: [Worldline](https://jobsbylevel.com/companies/worldline)
- AI level: AI Level 1 (score 30 out of 100)
- Location: Poland-Warsaw
- Posted: August 31, 2026
- Apply: https://jobsbylevel.com/go/bce4e1f2-7b8f-421b-a763-ecb86acc4ca4?utm_medium=ai-agent

## Description

Who we are Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution. The opportunity The role will focus on transforming operational, external and industry data into actionable intelligence to support earlier identification of emerging financial crime risks, control weaknesses, typology trends and cross-functional risk exposure across the organisation. The officer will operate in coordination with group and local functions to identify patterns, emerging threats and systemic vulnerabilities impacting the business. Day-to-day responsibilities Obtain, consolidate and analyse financial crime data and management information from multiple internal and external sources. Conduct thematic analysis relating to AML, sanctions, fraud, insider threat and emerging financial crime typologies. Produce intelligence-led reporting, KRIs and executive MI dashboards to support senior management oversight and strategic decision-making. Identify emerging financial crime risks, operational vulnerabilities and thematic control weaknesses across entities and functions. Conduct trend analysis across transaction monitoring, SAR/STR reporting, sanctions activity, KYC/CDD metrics and remediation activity. Support development of intelligence-led FCC reporting frameworks and operational intelligence capability. Analyse cross-functional intelligence from FCC, Fraud, Cyber and Investigations teams to identify linked or systemic risks. Produce emerging threat assessments, typology briefings and horizon-scanning outputs. Support EWRA activities through intelligence analysis, data validation and thematic reporting. Support remediation oversight through identification of recurring issues, deteriorating indicators and thematic root-cause analysis. Engage with local FCC teams and relevant stakeholders to improve intelligence visibility and reporting consistency across the Group. Maintain awareness of emerging criminal methodologies, regulatory developments and geopolitical risk trends impacting the payments sector. Technical Data & Intelligence Capabilities Experience handling and analysing large and complex data sets from multiple operational and intelligence sources. Ability to interpret and analyse structured and unstructured financial crime data. Experience developing KRIs, KPIs and intelligence-led MI reporting. Capability to identify trends, anomalies, outliers and behavioural patterns within operational data. Experience using reporting and analytics tools such as Power BI, Tableau, Excel, SQL or equivalent BI platforms. Ability to support development of intelligence dashboards, heatmaps and thematic reporting outputs. Understanding of data quality, data lineage and data governance principles within regulated environments. Experience correlating data across multiple systems and functions to identify linked financial crime indicators. Ability to translate operational data into strategic intelligence outputs suitable for senior management and governance forums. Familiarity with transaction monitoring, case management or intelligence management systems would be advantageous. Awareness of emerging AI and data analytics capability within financial crime intelligence environments Who are we looking for Experience & Background Ideal candidates will possess experience within: law enforcement; Financial Intelligence Units (FIUs); AML intelligence functions; economic crime investigation; fraud intelligence; regulatory enforcement; financial crime analytics or intelligence environments. Experience within payments, banking, fintech or international financial

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/financial-crime-intelligence-officer-data-analysis-at-worldline-c8b424

Source: https://jobsbylevel.com/jobs/financial-crime-intelligence-officer-data-analysis-at-worldline-c8b424

## Cite this page

Level. https://jobsbylevel.com/jobs/financial-crime-intelligence-officer-data-analysis-at-worldline-c8b424.

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