Upstart Info Session - In person

Upstart Info Session - In person
Speakers: Paul de La Villehuchet and Axel Moyal
Date: October 4, 201
Time: 12pm - 1pm
Location: Packard Building, room 202
Darbar will be served

Please RSVP in Handshake and be prepared to show Stanford ID card and the Mobile Green Health bagde. 
About Upstart:
Upstart is a leading AI lending platform partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.

By leveraging Upstart's AI platform, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. Upstart's patent-pending platform is the first to receive a no-action letter from the Consumer Financial Protection Bureau related to fair lending. Read more at Upstart.com/about

Intheir presentation, Stanford alumni Paul and Axel will share more aboutUpstart’s AI-powered underwriting model as well as information about career andinternship opportunities with Upstart’s world-class Machine Learningteam. 


Bios:
Paul de La Villehuchet
Born in France and raised in France/Belgium, Paul moved to the US in 2017 to study. He was at Stanford from 2017 to 2019 and graduated with an MS in management science & engineering in December 2019. After graduation, he worked for a year and then joined Upstart in March 2021 as a Research Scientist in the Verifications team.

Axel Moyal
Born in France, Axel moved to the US in 2019 and graduated with a MS in computational mathematics at Stanford in 2021. He joined Upstart as a research scientist in the Fairness team in April 2021. Prior to Upstart, Axel interned at Facebook and worked in a macro hedge fund in London as a quantitative analyst.

Date: 
Monday, October 4, 2021 - 12:00pm to 1:00pm