Gurraj Singh Sangha | Head of Risk
State Street

Gurraj Singh Sangha, Head of Risk, State Street

Mr. Sangha is Head of Risk in the Mobile Analytics division at State Street and leads a risk and investment strategy team for an artificial intelligence platform that integrates machine learning, natural language processing, portfolio and risk management, and human experiences to explore connections and extract relevant insights between market-moving events and multi-asset class portfolios.

Mr. Sangha is an accomplished global macro portfolio manager, strategist, and risk manager, with over 20 years’ experience. He has advised firms on developing quantamental approaches to trading --- strategies at the intersection of structural, statistical, and fundamental trading, utilizing data science, machine learning on both structured and unstructured data, and behavioral analytics.  Further, he has led several investment strategy and risk management teams and held a number of senior positions, including Chief Investment Strategist at a $6 billion global macro volatility hedge fund, and Senior Global Macro Trader at a $400 million hedge fund.

Mr. Sangha began his career at Goldman, Sachs & Co.,in the Global Investment Research Division.  He received honors at the International Mathematics Olympiad, served on the Canadian Mathematics Olympic Team, and is a Magna Cum Laude graduate of Brown University.


TNSY 2018 @ 14:40

Alternative data infrastructure – aligning technology, strategy and human capital to achieve peak investment performance

  • Outsourcing vs. internalizing – how to decide whether to fully outsource, partially outsource of fully internalize big data infrastructure
  • Compute & storage resources – how to determine compute and storage requirements
  • Machine learning & analysis tools – visualization software, open-source libraries
  • Human capital dynamics – how to assemble the most effective team to execute your alternative data strategy
last published: 16/Aug/18 17:05 GMT

back to speakers