Financial Crime Intelligence Officer - Data Analysis
Worldline is hiring a Financial Crime Intelligence Officer - Data Analysis in Warsaw, Poland. Level rates it ; you can apply on Worldline.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Worldline has 270 other open roles on Level.
AI in this role
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.
- 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.
- AML/CFT frameworks;
- SAR/STR processes and typologies;
- transaction monitoring;
- sanctions and financial crime risk;
- financial crime intelligence methodologies;
- organised crime and fraud typologies;
- intelligence analysis and escalation processes;
- KYC/CDD operational frameworks;
- emerging financial crime threats within payments and digital commerce.
Perks & Benefits
At Worldline you’ll get the chance to be at the heart of the global payments technology industry and shape how the world pays and gets paid. On top of that, you will also:- Private medical & life insurance
- MyBenefit Platform
- Holiday allowance
- Public transportation allowance
- Meal allowance
- Annual bonus.
Shape the evolution
We are on an exciting journey towards the next frontiers of payments technology, and we look for big thinkers, people with passion, can-do attitude and a hunger to learn and grow. Here you'll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. With an empowering culture, strong technology and extensive training opportunities, we help you accelerate your career - wherever you decide to go. Join our global team of 18,000 innovators and shape a tomorrow that is yours to own.
Learn more about life at Worldline at jobs.worldline.com
We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.
How we rate this
Financial Crime Intelligence Officer - Data Analysis at Worldline rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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