A member of Goldman Sachs' hottest tech team left for an AI 'lab'

Back in the day when technology was in its nascence and relatively few people worked in computing, top PhDs gravitated towards 'labs.' Bell Labs, for example, was the place to be in the post war years. Now it seems that an artificial intelligence company set up by a former SocGen managing director, is getting in on the act.

Marc Nunes spent 17 years working as a quant for Société Générale in London between 1998 and 2015. Last year, Nunes set up Hong Kong-based Shell Labs to use artificial intelligence and big data to analyze problems that arise in complex trading strategies. The company has just hired a London-based executive director from Goldman Sachs.

Jack Gillett left Goldman last month and has just joined Shell Labs in Hong Kong according to his LinkedIn profile. At Goldman, Gillet was working on the firm's FAST team, led by Samuel Krasnik, which uses data to create visualizations for end-users. Gillet describes his work there as, 'developing tools and actionable insights to improve traded volume and risk turnover velocity across a busy credit trading franchise.'

Gillet isn't Shell Labs' only recent hire. In October, the company also hired Gautier Marti and Tomas Thornquist, two former natural language processing specialists from AXA Investment Management in Hong Kong, and Nathan Landman, a former graduate researcher in machine learning from MIT.

The company still appears to be hiring and says it's looking for graduates in mathematics, computer science, physics or engineering who have a passion for AI and finance combined.

Have a confidential story, tip, or comment you’d like to share? Contact: sbutcher@efinancialcareers.com in the first instance. Whatsapp/Signal/Telegram also available.

Bear with us if you leave a comment at the bottom of this article: all our comments are moderated by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. Eventually it will – unless it’s offensive or libelous (in which case it won’t.)