Who you are
- 4+ years of work experience in a product analyst role
- Expert-level SQL – you write complex queries daily and can optimise them without thinking twice
- Advanced knowledge of data visualisation tools
- You already work with AI tools, not just experiment with them — they're part of how you analyse, investigate and ship faster
- Ability to see a business meaning behind the data and communicate it in the clearest possible way (even if it's complicated topic)
- Upper intermediate level of English
- Applied probability theory and mathematical statistics knowledge – A/B tests, causal inference, etc
- Proficiency in using Python for data analytics (ex NumPy, Pandas)
- Experience in risk, compliance, or anti-fraud fields
What the job involves
- As a Product Analyst in the Anti-Financial Crime (AFC) team, you'll turn fraud, AML and behavioural data into sharp detection logic that stops money laundering, fraud and sanctions evasion before they cause harm. In our AI-native environment, automation handles the repetitive work, so your energy goes where it matters:



outsmarting new attacks and building defences that stay ahead of every threat
- Analyse fraud, AML and user behaviour data to find gaps in detection logic and opportunities for rule optimisation
- Study user behaviour patterns to distinguish legitimate activity from fraudulent or suspicious actions
- Design, implement and refine detection rules across the Fraud, AML and Sanctions domains
- Investigate emerging typologies and unknown attacks; propose mitigation strategies
- Continuously improve fraud and disturb rates, balancing detection accuracy against customer friction
- Run controlled experiments and A/B tests to measure impact on fraud rates and alert quality
- Perform QA on alerts, analyse false positives/negatives, and increase precision
- Collaborate with Product, Engineering and Data Science to enhance risk models, alerting logic and automation flows
- Leverage AI and LLM-based tooling to accele

📌 Senior Product Analyst (Barcelona)
🏢 Vivid Money
📍 Barcelona