VARO SAVINGS ACCOUNT

Your Custom Savings Journey

Saving is a journey, start yours today with Varo.


*APYs for other banks are an average of 5 biggest national banks and provided by mybanktracker.com. They are accurate as of 04.21.2018. Balance in Savings must be at least $0.01 to earn interest.

1.25% Annual Percentage Yield (APY)

Supercharge your savings with a Varo Savings Account, which compounds your interest daily at a rate that’s more than 60x the national average.* No fees, no minimum balance—just high-interest savings that you can access 24/7. Varo APY is accurate as of 21st April 2018. This rate is variable and may change.

Everything you’ve come to expect from Varo, now in a Savings Account

https://www.varomoney.com/wp-content/uploads/2018/04/icon-accounts-tab_new_100x100-copy-01.svg

100% mobile

https://www.varomoney.com/wp-content/uploads/2018/04/always-there-when-you-need-it-1_new_100x100-01.svg

There when you need it

https://www.varomoney.com/wp-content/uploads/2018/04/free-no-fees-or-min-balance-3_new_100x100-01.svg

No Savings Account fees or minimum balance requirements

https://www.varomoney.com/wp-content/uploads/2018/04/customer-service-with-real-people-1_new_100x100-01.svg

Customer Service with real people who care about helping you

Set goals and track your spending

Everyone’s savings goals are different. Set your own goals and track your spending with Varo.

Get started

Apply for a Varo Bank Account now to earn more and pay less for savings.

No credit check required Varo Money iPhone app

Varo can disrupt big banks and build a more cost-effective and consumer-friendly platform that appeals to Millennials

[Varo’s] mission revolves around helping customers improve their financial situation

Varo’s aim is to provide a suite of app-based tools for customers’ financial health

Varo Money is an app that could replace a traditional bank account

Varo is a no-fee, all-in-one banking solution aimed at millennials… if you’ve lost your free account, ‘come to Varo, you’re welcome here

Varo’s machine-learned algorithms detect customer’s income and expenses, and then predict outcomes over the near-term future — linked to a system of notifications, recommendations and tracking