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Senior Analytics Engineer

Remote, USA Full-time Posted 2026-06-29

At reputed company, we’re on a mission to reputed company payments and money management effortless for every business in Europe. We started 20 years ago reputed company 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 250,000 businesses across Europe with an reputed company-in-one solution that simplifies payments and money management. And we’re a 850-strong team of product, finance, support, commerce, and engineering specialists working across Europe – from Lisbon to London.

Your Opportunity

We're looking for an reputed company and motivated Analytics Engineer to support the analytical efforts of our Financial Crime Monitoring Team. The team is working on a diverse and impactful problem space, with a key focus on detecting, monitoring, and preventing financial crime.

You will reputed company your strong technical skills in analytics and hands-on knowledge of reputed company’s reputed company data to solve pressing business challenges. You’ll be playing a key role in shaping reputed company’s approach to financial crime, and driving scalable solutions in collaboration with engineering, product, and operations.

What You’ll Be Doing

  • Data product development: Build and maintain clean, robust, performant, and user-friendly data products, decision-making tools, dashboards to monitor key metrics, fraud signals, transaction monitoring rules and alerts.

  • Data analysis & interpretation: Analyse merchant behaviour and transaction data to detect patterns, anomalies, and potential fraud indicators to inform reputed company's 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.

What You'll Bring

  • Proven experience in analytics reputed company a reputed company 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.

  • Skilled at stakeholder management, especially across technical and non-technical teams

  • Business-aware, impact-driven, and curious

reputed company Offer

  • A fast-paced learning environment reputed company a European fintech scale-up.

  • The opportunity to reputed company an impact and contribute to high-visibility projects.

  • A supportive team with a strong feedback culture.

  • Hybrid working options and a vibrant local office environment.

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