Amey Farde
About Amey Farde
Amey Farde is a Senior Product Manager at Sift, specializing in Data Science for Payments Fraud, Identity, and ATO Risk. With a background in Mechanical and Industrial Engineering, he has extensive experience in fraud prevention and optimization techniques.
Work at Sift
Amey Farde has been employed at Sift since 2021, serving as a Senior Product Manager in the Data Science Payments Fraud, Identity, and ATO Risk division. In this role, Farde focuses on optimizing operations queues to enhance customer care efficiency. His work involves integrating guaranteed risk engines to mitigate fraud and employing machine learning techniques for fraud detection. Farde's expertise in fraud prevention includes specialization in optimizing 3DS-PSD2 protocols.
Education and Expertise
Amey Farde holds a Bachelor of Engineering (B.E.) in Mechanical Engineering from the University of Pune, where he studied from 2006 to 2010. He furthered his education at Penn State University, earning a Master of Science (M.S.) in Industrial Engineering from 2010 to 2012. Farde's expertise includes integrating risk engines for fraud mitigation, utilizing supervised and unsupervised machine learning techniques, and applying Lean Six Sigma methodologies for process optimization.
Background
Before joining Sift, Amey Farde accumulated significant experience in various roles related to product management and fraud strategy. He worked at Walmart eCommerce as a Senior Product Manager for Payments and Identity Fraud Risk from 2019 to 2021. Prior to that, he served as a Senior Associate in Payments Fraud Strategy at JPMorgan Chase & Co. from 2016 to 2019. His career also includes positions at Siemens and Rolls-Royce, where he developed skills in manufacturing engineering and product management.
Achievements
Throughout his career, Amey Farde has contributed to various initiatives aimed at improving fraud management and customer identity authentication. His experience includes working with FICO Falcon and Visa DPS for fraud management. Farde has also employed graph modeling techniques to enhance transaction processing systems, demonstrating his commitment to advancing technology in the payments and fraud prevention sectors.