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Trustly - Fraud Analyst

Unknown - Europe *2d ago

In Office EMEA Banking Fintech Fraud Analyst SQL Close Workday

Requirements

• Dedicated Fraud Experience: Proven experience specifically within fraud operations or fraud investigations • Typology Knowledge: Solid understanding of fraud mechanisms, specifically differentiating between first-party fraud, third-party fraud, and account takeover vectors. • Typology Knowledge: • Data & SQL Fluency: Basic familiarity with SQL to run, read, and adjust query templates, with high comfort navigating large datasets without getting overwhelmed. • Data & SQL Fluency: • External Communication: Excellent written and verbal communication skills in English, with the diplomatic presence required to liaise effectively with partner banks and merchants. • External Communication: • Collaborative & Humble Mindset: A strong team player who thrives in a close-knit, supportive environment, values active listening, and enjoys rolling up their sleeves to solve puzzles together. • Collaborative & Humble Mindset: • Fintech Affinity: Prior experience in a payment processor, fintech, or fast-paced digital transaction environment is considered a strong plus. • Fintech Affinity: • Our Fantastic Benefits (varies by location) • 🌴 20 to 30 days of holiday to support a healthy work-life balance • 20 to 30 days of holiday • 🥳 Monthly team outing allowance to enjoy social events with your colleagues • Monthly team outing allowance • 👶 Parental leave top-up additional support for new parents • Parental leave top-up • ☕ On-site perks to make your workday smoother

Responsibilities

• Independently investigate fraud claims received from partner banks and merchants, assessing incident validity and identifying underlying fraud vectors. • Lead end-to-end investigations on UK legislative liability claims where Trustly holds shared liability, ensuring fair and timely resolution outcomes. • Communicate and collaborate directly with external financial institutions, partner banks, and merchants to gather evidence, resolve disputes, and clarify fraud findings. • Accurately mark and categorize transaction datasets to retrain our automated fraud rules and machine learning models. • Conduct proactive undetected fraud monitoring and analysis across transaction streams using internal extraction tools and SQL query templates. • Collaborate closely with team members across Lisbon and Stockholm to share typologies, refine operational workflows, and improve team playbooks.

Benefits

• 💚 Well being support our health allowance covers gym memberships, massages, and much more to help you feel your best • Well being support • PLUS additional benefits designed to enhance your work-life experience!