Data Analyst - Risk and Fraud

About the role

Glovo, part of the Delivery Hero Group, is looking for a Data Analyst for its Risk and Fraud team in Barcelona. Courier fraud costs Glovo millions each year, and the role covers the end-to-end fight against it: defining detection logic, building models, shipping dashboards and bringing AI into the anti-fraud pipeline across all markets.

Key responsibilities

• Define rules, thresholds and detection logic across all markets, and iterate as fraud patterns evolve
• Partner with Operations and Legal to align enforcement with local regulation
• Design and ship heuristic scores, rule engines and anomaly flags for cancellation abuse, account sharing, GPS spoofing and payment fraud, working with Data Engineering to keep them in production
• Scope ML use cases, partner with Data Science to build them and own the path from prototype to deployed model
• Build self-service dashboards so operations teams across 10+ markets can spot signals and act
• Run deep dives that lead to countermeasures and give leadership regular reporting on fraud trends, financial exposure and what works

Required profile

• 3+ years in a data analyst or analytics engineer role, with a track record of turning analysis into business decisions
• Hands-on experience with AI/ML, from scoping use cases to deploying models
• Structured problem solving and strategic thinking
• English fluency
• Nice to have: fraud, trust & safety or marketplace operations experience, and BI tool experience (Looker, Tableau or similar)

Required skills

• Strong SQL and Python, with production-grade queries and scripts
• AI/ML hands-on experience

What we offer

• Equity plan
• Private health insurance
• Monthly Glovo credit
• Discounts on transport, food and kindergarten, and discounted gym memberships
• Extra time off, two days of work from home per week and up to three weeks working from anywhere a year
• Enhanced parental leave and an office-based nursery
• Online therapy and wellbeing benefits