Baoshi Yan’s Post

Hello LinkedIn, we are looking for strong engineers to help us develop machine learning infrastructure that enables high-availability, real-time risk assessment for bank-to-bank payments. If you are interested, please DM me or apply directly. https://lnkd.in/gK7dBStn

Hello LinkedIn, We're excited to announce several openings on our Payment Risk Engineering team here at Plaid! Our team develops risk solutions for bank-to-bank payments. We have seen incredible demand for our products and now need your help to reach and serve 10x more customers. If you or anyone you know is passionate about payment risk, possesses a strong background in software engineering, and seeks an opportunity to make an impact in fintech, we want to hear from you. https://lnkd.in/gShWBxmy

Glad to see that Plaid has made it to Fast Company's Most Innovative Companies list for 2024, and even more exciting is the recognition of the product by our team, Plaid Signal, an industry-leading risk product for bank payments, in the Fast Company article: https://lnkd.in/giY9tfyN BTW, for those interested, we're currently hiring for several software engineer roles on the team.

Starting the big bold bet of Project RADAR, an unsupervised system for early fraud detection and mitigation, was one of my fondest memories at Uber. It is great to see the multi-year project coming to fruition and made public. Congrats Sergey Zelvenskiy Garvit Harisinghani Robin Wei and team!

Managing fraud for a complicated marketplace like Uber (ridesharing, Eats, bikes/scooters, Freight, regional payments all over the world) is hugely challenging and absolutely critical. Our engineer Neel provides a glimpse into some of the work we do. Hit me up on LinkedIn if you are interested in helping us address the technical challenges in this area. https://lnkd.in/gWm9ySX #uber #fraudprevention