Data Analyst
Data Analyst
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Job Description
At Mollie were on a mission to make payments and money management effortless for every business in Europe. We started 20 years ago when we launched a more direct affordable way for companies to get paid. That provided an alternative to the frustrating overpriced solutions that banks offered at the time.
Today we serve more than 250000 businesses across Europe with an all-in-one solution that simplifies payments and money management. And were a 850-strong team of product finance support commerce and engineering specialists working across Europe from Lisbon to London.
Your Opportunity
Were looking for an experienced and motivated Data Analyst to lead the analytical efforts of our Real-time Fraud Monitoring Team.
Working within one of Mollies newest verticals our team is dedicated to protecting our account holders from financial crimes. Were on the front lines developing scalable automated risk decision-making tools that operate in milliseconds. Here real-time data meets real-world security.
This role isnt just about technical expertise; its about addressing critical business challenges. Youll use your technical skills to design build and optimise intricate data pipelines and analytical solutions for fraud detection. Youll work with Mollies complex real-time data flows transforming raw data into actionable insights that directly combat financial crime and enable swift risk decisions.
Youll play a key role in driving impactful solutions from concept to deployment partnering closely with our engineering product and operations teams to ensure our analytical capabilities are seamlessly integrated. Your efforts will directly contribute to protecting our account holders turning data into the shield that safeguards our business.
What Youll Do
Data product development: Build and maintain robust performant easy-to-use data products and dashboards to monitor key fraud metrics and help us make decisions
Data analysis & interpretation: Analyse merchant behaviour and transaction data to detect patterns anomalies and potential fraud indicators to inform Mollies risk strategy.
Data visualisation & storytelling: Create compelling data visualisations and narratives to effectively communicate your findings to technical and non-technical audiences using various mediums e.g. presentations reports memos etc.
Documentation & knowledge sharing: Create and maintain comprehensive documentation for data products processes and analyses to facilitate knowledge sharing and onboarding of new team members.
Data quality assurance: Implement data quality checks and processes to ensure the accuracy completeness and reliability of data used for analysis and decision-making.
Experimentation & prototyping: Develop and test new analytical approaches and models through experimentation and prototyping to improve fraud detection and risk assessment.
What You Bring
Proven experience in analytics within a complex risk fintech or payments environment
Strong technical foundation in SQL and Python; experience with data modelling and automation
Deep understanding of one or more risk areas: fraud AML/CFT credit risk
Experience leading analysts or analytics engineers with a track record of raising the bar
Ability to zoom out and to zoom in to support implementation often on the same day
Skilled at stakeholder management especially across technical and non-technical teams
Business-aware impact-driven and curious
Required Experience:
IC
Employment Type
Full-Time
