Best Jobs at Google and How These Finance Workers Landed Them

Google is hiring. Headcount at parent company Alphabet increased by 23 percent last year, to nearly 100,000 people, with employment at the cloud division growing among the fastest of all divisions. If you work in finance and have aspirations to join the technology giant, now is a good time to apply. 

What if you want to leave banking and work for DeepMind, Google’s famous A.I. division, where staff earn an average of around $363,000 each? Speaking at this week’s Women of Silicon Roundabout Event in London, Nira Goren, a senior clinician strategist at DeepMind Health (which is being moved into Google), said her team has various people who’ve left banks. There are also points of commonality in how they arrived there.

DeepMind’s Health division works on interesting healthcare problems, including screening for cancers and predicting eye disease, but this doesn’t mean Goren’s team is comprised of ex-healthcare or pharmaceutical bankers who studied computer science. Nor is it comprised of people who once worked in machine learning in finance. Instead, one of her colleagues worked in credit research at Bank of America, another spent nine months working for a fintech, another completed a Masters in Finance and worked as an industrial analyst on Credit Suisse’s M&A team, and yet another completed an internship at Bloomberg. 

In other words, each took a circuitous route to working in machine learning for Google; none of them became machine learning specialists straight out of their finance careers.

But why did they leave finance in the first place? 

Goren said the ex-BofA credit researcher left banking because of a lack of creativity and role models, combined with a feeling that the role didn’t really “resonate.” She took a month’s sabbatical and then went back to university, where she studied machine learning.

The ex-Credit Suisse industrial analyst did some “really interesting work” in corporate finance where he “really excelled,” but ultimately burned out and quit. He subsequently joined some big tech firms (including Uber) and moved into product management after taking online courses in his spare time. He’s now a project manager at DeepMind.

The ex-fintech coder joined Google as a software developer before going through Google’s Machine Learning Ninja program, which was previously used to train its staff. She applied to DeepMind and joined earlier this year.

And the ex-Bloomberg intern completed 13 interviews to get a job on a Google engineering sales team five years ago, then studied a part-time Masters qualification in cognition and computation at London’s Birkbeck College before applying successfully to DeepMind.

If you want to leave finance for a machine-learning role at Google, you will need to be patient and supplement your skills before you even attempt an application. Devote time to self-study in the evenings and weekends. And don’t worry if it doesn’t seem like you’re making progress: “Very few people had a linear path and even if it was a linear path, it probably didn’t feel linear going through it,” said Goren. 

This article originally appeared in eFinancialCareers.