Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Fraud Expert – Remote-First

Epicompany
CompanyEpicompany
CategorySecurity
Location
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted26 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (teamtailor)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
🚀 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 3–5 years of experience in fraud analysis and fraud rule management (issuing and/or acquiring) within 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 Understanding of payment flows (SEPA Credit Transfers, SCT Inst etc) 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 frau
HOUSE AD986,449 openings. Erioun finds yours.Scored against your own profile, every hour.Try the radar →