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
We 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. We don’t think it needs to be this way, so we’re out to beat them.
We 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, we want to meet you.
Our client is a technology and data-driven consumer bank. They are amassing vast amounts of data that they want to use to ensure they're the best in risk management, new user acceptance, information security, underwriting, and more. Data Scientists occupy a critical role in the company, creating models and infrastructure that allow us to evaluate events in realtime in new, efficient, and accurate ways.
What You’ll Do
In this role, you’ll build and implement novel machine learning algorithms, drive data science analysis for decision-making, and build real-time models through to production at scale. You’ll also build a strong, nimble team of data scientists who are passionate about tackling a litany of risk, finance, and security challenges. Specifically, you’ll:
Qualifications & Requirements