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The 20 top people in machine learning and data science in finance

As banks and hedge funds rush to staff up in machine learning and data science, there have been multiple big machine learning moves in finance in 2018. For all those of you haven't kept pace, we've listed the big names, and the big moves below.

Let us know if we've left anyone out. 

1. Apoorv Saxena at J.P. Morgan 

Saxena joined J.P.M as head of artificial intelligence in August 2018 . A former head of product at Google, Saxena says he is hiring a "rock star" team at the bank. He's based in San Francisco.

2. Manuela Veloso at J.P. Morgan 

Veloso joined J.P. Morgan as head of artificial intelligence research for the corporate and investment bank in May 2018. She is also head of the machine learning department at Carnegie Mellon University - and will retain this role whilst at JPM.

3. Adam Kelleher at Barclays 

Kelleher is another recent hire into banks' machine learning ranks.  A former principal data scientist at Buzz Feed, he joined Barclays in May 2018.  Kelleher is the bank's chief data scientist, based in NY. He is also an Adjunct Assistant Professor at Columbia University’s Data Science Institute.

4. Charles Elkan at Goldman Sachs 

Goldman Sachs hired Elkan in April 2018 and there already indications that he's hiring. Elkan joined Goldman as an MD leading the firm's machine learning and AI strategies. He was previously in charge of Amazon's central machine learning team and was (and remains) a professor of computer science and engineering at the University of San Diego California. He's not Goldman's only AI star - there's also Vijay Saraswat, a technology fellow who's setting up an R&D engineering lab after joining from IBM in late 2017.

5. Daniel Giamouridis at Bank of America Merrill Lynch

Giamouridis isn't a head of machine learning or artificial intelligence like his predecessors on this list, but as the Global Head of Scientific Implementation at Bank of America Merrill Lynch, he's at the forefront of implementing machine learning techniques in systematic trading strategies for the bank. Giamouridis has worked for BAML since 2016. He has a PhD from Cass Business School. 

6. William McGhee at Natwest Markets 

Natwest Markets appointed McGhee Global Head of Machine Learning and eTrading Quantitative Analytics in November 2018. He previously spent eight years at the bank as head of quantitatie analytics after joining from Citi in 2009.

7. Daniel Drummer at J.P. Morgan 

Drummer isn't a head of AI or machine learning like the others on the list, but he is someone to watch. A vice president in the corporate and investment bank, Drummer ran J.P. Morgan's London fintech 'Inresidence' programme until January 2018. He's now program manager for Roar - the interesting new J.P.M crowdsourced predictions engine which was supposed to launch earlier this year, but has yet to go live.  

8. Annika Schröder at UBS

Zurich-based Schröder is the person to know at UBS if you want to work in artificial intelligence. Schröder is the Swiss' banks AI lead. 

9. Mike Schuster at Two Sigma 

Schuster, a scientist who previously worked on the Google Brain team, joined hedge fund Two Sigma in April 2018. He says his brief there is to build new machine learning, neural network, deep learning and AI technology for financial products. He's hiring.

10. Li Deng at Citadel 

Deng is Citadel's chief AI officer. The hedge fund hired him from Microsoft (where he was the chief scientist in AI) in May 2017.

11. Howard Mansell at AQR Capital Management 

You might have missed Howard Mansell's sneaky move to AQR Capital Management this month, but we did not. Mansell joined AQR as head of AI research this November. He previously worked in Facebook's artificial intelligence team.

12.  Marcos Lopez de Prado at AQR

Mansell isn't AQR's only recent machine learning hire. In September, the hedge fund also hired Marco Lopez de Prado as its head of machine learning. Lopez de Prado was previously a senior managing director at Guggenheim Partners. 

13. Angus Lund at AKO Capital 

Lund used to be the global head of Morgan Stanley's Alphawise product (a data analytics unit within Morgan Stanley's research division), until he snuck away to a hedge fund in April 2018. It's not clear what Lund is doing at AKO Capital, but his background in machine learning makes him worth monitoring. 

14. Sameena Shah at S&P Global 

New York-based Shah is S&Ps head of data science and AI. Like many others on this list, she got her job in 2018, after previously spending eight years at Thomson Reuters. Shah has a PhD in distributed machine learning from the Indian Institute of Technology in Delhi. 

15. Dave Ferrucci at Bridgewater 

Ferrucci joined Bridgewater in December 2012 and is the hedge fund's director of applied artificial intelligence. He previously worked for IBM where he was the lead researcher on Watson, the company's artificial intelligence engine that won the Jeopardy competition on TV in 2011.  Ferrucci has a PhD in computer science from the Rensselaer Polytechnic Institute.

16. Graham Giller at Deutsche Bank 

Giller joined Deutsche Bank in March 2018. The former head of data science research at J.P. Morgan, Giller is the head of primary research at DB. He was previously the Chief Data Scientist for Bloomberg's Global Data division.

17. Andy Moniz at Deutsche Bank

Moniz is the chief data scientist at Deutsche Bank, where his role is to apply data analysis to the bank's systematic trading strategies. A PhD in Information Retrievel and Natural Language Processing at Erasmus University Rotterdam, he joined Deutsche in January 2017 from UBS.

18. Matt Ober at ThirdPoint 

Ober is the chief data scientist at Daniel Loeb’s New York-based hedge fund, Third Point Management. He joined in late 2016 from Worldquant, a quant investment fund, on a package allegedly worth $2m. Ober has a degree in business and finance from California State University.

19. Gideon Mann at Bloomberg

Mann has been head of the data science office at Bloomberg since 2014. He joined from Google, where he was a staff research scientist. He has a PhD in computer science from the John Hopkins University.

20. Deeptasree Mitra at the Bank of England 

Mitra is head of data analytics and modelling at the Bank of England. She was previously head of data science and data solutions at British Gas.

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AUTHORSarah Butcher Global Editor
  • Gr
    28 November 2018

    What a myopic list. Nobody from Asia or China (who are certainly ahead of the rest of the world in areas such as facial recognition) and nobody from the non-banking retail lending or insuretech sector which is ahead of the banking sector in terms of practical operational AI benefitting the bottom line.

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