Fraud Data Scientist – Remote-First

Fraud Data Scientist – European Payments Initiative (EPI) In today’s digital world, payments often still feel outdated: random delays and confusing rules make it harder than it should be to pay and get paid. The European Payments Initiative (EPI) is here to change all that, forever. With Wero, our digital wallet, we make sending and receiving money simple, seamless and secure across France, Belgium and Germany, with more countries and omnichannel solutions coming soon. Supported by 14 major banks and the two largest European acquirers, EPI is building a new, proudly European payment system: easy, instant and transparent, all for the greater good. What’s in it for you As a Fraud Data Scientist at EPI, you’ll work on high‑impact projects protecting a wide range of payment transactions, cards, instant payments, and beyond, across Europe. You’ll design and validate advanced fraud scoring models, apply cutting‑edge AI and anomaly detection techniques, and turn complex data into actionable insights. About the team You will be part of a talented team composed of 2 Fraud Data Scientist and Manager and finally a Fraud Analyst distributed across Belgium, France, Germany and Denmark. Together, you’ll safeguard EPI against fraud risks while shaping the future of European payments. Responsibilities Act as the primary liaison for designing, training, and deploying fraud scoring models. Oversee their performance to ensure quality and KPI alignment while contributing technical expertise. Monitor fraud detection systems, analyse transactional data, and respond to emerging threats or high‑risk events. Work closely with internal teams (Engineering, Scheme, Product) to align fraud strategies and expand scoring services and facilitate ongoing communication with EPI Members on fraud‑related topics. Serve as a fraud risk expert, advising on business strategies and ensuring methodological consistency. Prepare dashboards, performance reports, and support vendor management processes. Qualifications +5 years as a Fraud Data Scientist or in a similar role in the payments industry (preferably issuing and acquiring experience) Excellent written and verbal communication skills , with the ability to work cross‑functionally and lead initiatives. Strong time management, decision‑making, and prioritisation abilities Fluent in English (CEFR level C1 or C2) ; additional European languages such as French, German, or Dutch are a plus. Proven ability to build strong relationships and work effectively with internal and external stakeholders. Advanced knowledge of Data Science, AI, and Deep Learning applied to fraud detection and scoring Experience with IBM Safer Payments, Feedzai or similar fraud prevention tools Hands‑on experience with supervised and semi‑unsupervised anomaly detection techniques Proficient in problem framing , translating complex business problems into clear data science questions. Experienced in designing and implementing robust validation frameworks Ability to communicate insights clearly to non‑technical stakeholders Focused on business impact , prioritising solutions that reduce fraud losses while minimising false positives. Experienced in mentoring junior data scientists and promoting best practices. Skilled in user‑centric design , tailoring dashboards for clarity and accessibility. Strong in data storytelling , structuring dashboards and reports to deliver a clear narrative. Ability to simplify metrics using intuitive KPIs and risk scores. Recruitment Process A first call with one of our recruiters. A technical interview with 2 of our Data Scientists. An interview with the Fraud Manager & Chief of Operations & Service Delivery. A final interview with our COO. Hopefully, an offer you can’t refuse. Equal Employment Opportunity Statement 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. #J-18808-Ljbffr