Fraud Analyst – Remote-First

 Posted 11 hours ago
     
10+ years experience
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AI Summary

Conduct end-to-end fraud investigations across issuing and acquiring environments to identify patterns and emerging typologies. Collaborate with data science teams to refine detection models and provide actionable insights to internal stakeholders.

🚀 Be part of a movement to change the way Europe pays

In today’s digital Europe, payments still feel too complicated. Random delays, confusing rules, extra apps and accounts make it harder than it should be to pay and get paid.

The European Payments Initiative is changing that with Wero, a proudly European digital wallet to make payments easier, clearer and more secure. Online, in store, at home and across borders, with your money and data protected under European laws and regulations.

Wero is live in Belgium, France and Germany and launching very soon in Luxembourg and the Netherlands. Backed by 16 major banks and the two largest European acquirers, we’re building a brand new, proudly European payment system. Why not join us?

🔎 What's in it for you

As a Fraud Analyst, you’ll investigate alerts end‑to‑end, analyze patterns across issuing and acquiring, and document cases with audit‑ready evidence. You’ll surface insights via dashboards and concise reporting, and collaborate with data science and operations to improve detection and support incident response.

🐝 About the team

You’ll will be part of a Fraud Team within Operations & Service Delivery, working closely with 2 Fraud Data scientists and 2 fraud analysts, and subject matter experts. Together, you’ll safeguard EPI against fraud risks while shaping the future of European payments.

💥 Your impact

  • Conduct end‑to‑end fraud investigations across issuing and acquiring environments, from alert generation through to case closure, ensuring timely and accurate resolution

  • Detect, analyze, and document fraudulent activity by leveraging transactional data, tools, and dashboards to identify patterns, trends, and emerging typologies

  • Perform root‑cause analysis on confirmed fraud cases to identify control gaps and vulnerabilities, and provide clear recommendations for corrective and preventive actions

  • Maintain and enhance fraud dashboards and reporting, tracking key metrics, fraud trends, and case activity to support operational decision‑making and management oversight

  • Provide fraud‑related support and insights to stakeholders, acting as a subject‑matter contact for internal teams (e.g. Operations, Customer Support, Product, Compliance) and external partners where relevant

  • Promote fraud awareness by sharing learnings from investigations, preparing concise summaries of schemes and typologies, and contributing to internal training materials

  • Collaborate closely with the Fraud Data Science team to validate alerts, test and refine scoring models, and provide feedback on detection tools based on investigation outcomes

  • Support incident management processes during fraud events or spikes, by contributing detailed case analysis, root‑cause inputs, and structured updates on impact and containment

  • Ensure high‑quality analysis and documentation of all cases, maintaining audit‑ready evidence, clear case narratives, and consistent use of internal tools and workflows

  • Prepare and deliver presentations on fraud findings, trends, and risks to internal stakeholders, translating complex data and investigations into clear, actionable insights

💻 Technology stack

  • Python, SQL, Databricks, PySpark

🕵🏻‍♀️ To succeed, you should meet at least 70% of these requirements

  • +7 years of professional experience in fraud investigation (issuing and/or acquiring), risk management, or compliance, including at least 5 years focused on the payments industry

  • Fluent in English (CEFR C1 or C2); French, German, Dutch, or other European languages are a plus

  • Thrive in a remote-first, multicultural environment

  • Strong analytical and critical thinking abilities, with a knack for spotting patterns, anomalies, and emerging fraud typologies in data

  • Excellent collaboration and adaptability in a fast-paced environment, working closely with fraud data scientists, other analysts, and operational teams

  • Solid understanding of investigation techniques and fraud typologies, particularly in card and payment fraud (e.g. CNP, social engineering, account takeover)

  • Strong case documentation and reporting skills, ensuring audit-ready evidence, clear narratives, and consistent use of tooling and workflows

  • Knowledge of regulatory frameworks relevant to fraud and financial crime (AML, KYC, GDPR – PSD2/SCA is a plus)

  • Ability to deliver clear and impactful presentations, turning investigation outcomes and data insights into concise, actionable messages for different audiences

  • Professional certifications such as CFE (Certified Fraud Examiner) or CAMS (Certified Anti-Money Laundering Specialist) are strong assets

🪜 If this looks like you, the recruitment steps are:

  1. A first call with one of our recruiters

  2. A technical interview with the Fraud Manager

  3. A final interview with our COO

  4. Hopefully, an offer you can’t refuse

⛔ Turn back if …

  • You don't have experience on both aspects issuing and acquiring

🎁 What we can offer

  • Remote-first culture with quarterly and annual all-staff in-person meetups to keep teams connected and collaborative

  • Possibility to work from another EU country for up to 3 months per year

  • Competitive compensation package, featuring salary, performance-based bonus, and a thoughtfully designed, high-quality benefits program

  • The opportunity to be part of a multicultural European company

  • Learning & development budget: €5,000 training budget per year

Otherwise apply!

🫶 Our commitment to equal employment opportunities

EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving.

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