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SumUp's Fraud Prevention team operates at the intersection of risk, data, and global payments, tackling one of fintech's most dynamic challenges: stopping fraud at scale across multiple markets and products. In this role, you will help protect SumUp's acquiring business globally, using data, analytical thinking, and fraud prevention expertise to reduce losses while safeguarding approval rates and the experience of merchants and their customers.
You will work on complex, high-impact fraud challenges across international markets, building a deep understanding of fraud performance and translating your analysis into practical strategies that shape how the company prevents fraud over time.
Key responsibilities include:
- Shape fraud prevention strategy for SumUp's acquiring business across international markets
- Analyse large, complex datasets to spot fraud trends, performance shifts, and opportunities for improvement
- Design, configure, and test decision engine rules, thresholds, and authentication strategies
- Monitor fraud, chargeback, approval rate, and false positive performance to assess strategy effectiveness
- Investigate root causes of performance changes and recommend clear, evidence-based actions
- Translate regulatory and card scheme requirements into practical fraud controls
SumUp is a fintech company empowering small businesses globally with simple and affordable financial tools. Over 4 million businesses in 39 markets rely on SumUp for payments, finance, and customer relationship management. The company has a diverse team of over 4,000 employees from over 90 nationalities, committed to fostering inclusivity and continuous learning.
Benefits include virtual stock options, €2,000 annual L&D budget, corporate pension scheme (20% match), 28 days paid leave plus public holidays, Urban Sports Club subsidy, subsidised office lunches, and a 1-month sabbatical after 3 years of service.
REQUIREMENTS:
- Proven experience in fraud prevention, fraud strategy, or risk management within payments, fintech, or another data-driven environment
- Advanced skills in SQL and Python, including experience working with data pipelines and large datasets
- Hands-on experience configuring fraud decision engines, rule-based systems, or authentication strategies
- Strong knowledge of Card Present and Card Not Present fraud patterns across diverse markets, with ability to apply this knowledge to strategy
- Ability to balance merchant conversion, approval rates, fraud losses, and false positives when making decisions, and to communicate recommendations clearly to technical and senior stakeholders
PLUS (desirable):
- Participation in industry working groups, webinars, or communities focused on global fraud trends
- Knowledge of acquirer settlement flows and interchange economics
- Experience working with card scheme requirements or regulatory change across international payments markets
