Lead and manage Fraud strategies for seller risk/transaction fraud from conception to deployment, ensuring alignment with business objectives and deadlines.
Set up proactive monitoring frameworks to detect suspicious activity.
Identify the Modus Operandi for the fraud attack, build strategies and mitigation solutions.
Develop and deploy ML techniques and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
Provide guidance and mentorship to junior data scientists on advanced analytics techniques, fraud strategies, coding best practices, and model interpretation.
Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
Stay updated with the latest advancements in Payment Fraud and come up with the thought process to build new Fraud solutions.
Ensure data integrity, security, and compliance with regulations.
Requirements
Hands on experience building Fraud Strategies for seller risk or transaction fraud
Develop fraud strategies, from ideation to deployment, ensuring they deliver impactful insights.
Own end-to-end design, development & deployment of fraud strategies at scale to deliver high-quality outcomes.
Partner with data analysts to produce dashboards and reports that translate data into actionable business decisions.