Our client is dedicated to helping our members lead healthy financial lives. That’s why we offer an award-winning bank account that doesn’t charge unnecessary fees, gives members early access to their paychecks, and helps them save money automatically. Hundreds of thousands of people use their mobile app and debit card to make purchases, track spending, save for the future, and more.
They believe the big banks fail to help their members achieve financial health - and in many cases work against it, charging hundreds of dollars in hidden fees and pushing products that drive people into debt. They don’t think it needs to be this way, so they're out to beat them.
They have one of the most experienced management teams in Fintech and just raised a $70M Series C funding round, led by Menlo Ventures, to fuel our growth. If you’re looking to join a small but fast-growing company with a beloved, daily-use product and an authentic mission that puts people first, they'll want to meet you.
Our client is a technology and data-driven consumer bank. We are amassing vast amounts of data that we want to use to ensure we’re the best in risk management, new user acceptance, information security, underwriting, and more. Our ML and Data Science team occupies a critical role in the company, creating models and infrastructure that allow us to evaluate events in realtime in new, efficient, and accurate ways so as to minimize fraud and scale our ability to manage risk.
What You’ll Do
In this role, you’ll build and implement novel Machine Learning and Deep Learning systems to combat fraud on our platform as well as help build the infrastructure to train and deploy them. Specifically, you’ll:
Qualifications & Requirements