Identify fraudulent patterns and account compromises
Implement and update rule engine rules
Analyze alerts and available data to detect anomalies, identify patterns characteristic of fraudulent behavior and account compromises, and implement and update rule engine rules accordingly
Job Summary
Analyze alerts and available data to detect anomalies, identify patterns characteristic of fraudulent behavior and account compromises, and implement and update rule engine rules accordingly.
Propose alternative tools, methods, and approaches for fraud monitoring, actively monitor new fraud typologies and market solutions, and follow the evolution of ML models developed by the Data team.
Be the guarantor of the account management process for suspicious transactions, service suspensions, account closures, and blocks, ensuring follow-up and coordination with relevant teams until resolution.
Matching Summary
Analyze alerts and available data to detect anomalies, identify patterns characteristic of fraudulent behavior and account compromises, and implement and update rule engine rules accordingly.
Skills & Requirements
Must-have
Analyze alerts and data for anomalies
Identify fraudulent patterns and account compromises
Implement and update rule engine rules
Produce regular analysis reports
Propose alternative fraud monitoring tools
Active monitoring of new fraud typologies
Follow ML model evolution
Nice-to-have
Collaborate with Data team
Share alert signals and coordinate actions
Maintain fluid communication with stakeholders
Contribute to best practice diffusion
Key Requirements
3-5 years minimum in a similar function
French: Native or C2 level
English: Minimum B2 level
Good understanding of transactional processes
Knowledge of document analysis and KYC/KYB procedures