Senior Product Analyst in the Anti-Financial Crime (AFC) team will turn fraud, AML and behavioural data into actionable 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.

Senior Product Analyst in the Anti-Financial Crime (AFC) team will turn fraud, AML and behavioural data into actionable 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.