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Senior Fraud Data Analyst
DataHybrid — Stockholm, Lisbon
Published on 2026-10-20
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Own fraud risk performance across Trustly’s payment flows, translating risk strategy and operational insights into measurable improvements. Optimize fraud controls and collaborate across machine learning, product, compliance, and operations to support accurate, scalable detection.
About the company
Trustly is an open banking payments company that lets consumers pay and get paid directly from their bank accounts.
The team
Risk Precision team
What you'll do
- Configure and optimize fraud models, rules, thresholds, and decision logic
- Own fraud KPIs and drive measurable performance improvements
- Conduct impact and root-cause analysis
- Translate risk appetite and operational insights into mitigation actions
- Align model outputs with fraud logic in collaboration with the Machine Learning team
- Propose and implement changes to risk controls and escalation logic
- Contribute to fraud policies, procedures, and risk documentation
- Partner with Compliance, Product, and Operations on mitigation and regulatory requirements
What we're looking for
- Several years of fraud prevention, fraud analytics, or risk management experience in financial services or fintech
- Track record of owning performance metrics and delivering measurable improvements
- Strong understanding of fraud typologies, detection strategies, and risk control frameworks
- Ability to translate complex data into clear insights and actions
- Comfort working with both rules-based controls and machine learning models
- Confident communication with technical and non-technical stakeholders
- Structured, accountable, and comfortable making risk-based trade-offs