About The RoleAs a Product Analystin 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.
Your Mission
- 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 accelerate investigations and scale your analysis.
- Prepare clear, visualised reports on risk trends, rule effectiveness and ongoing threats.

Your Profile
- 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.
- Youalready work with AI tools, not justexperiment with them — they're part ofhow you analyse, investigate and shipfaster.
- 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.

Would be a plus
- Applied probability theory and mathematical statistics

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