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将人工智能用起来
2019年6月18-21日
北京,中国
Arun Verma

Arun Verma
Head of Quantitative Research Solutions Team, Bloomberg

Arun Verma is the head of the quantitative research solutions team at Bloomberg. He also serves on the board of a nonprofit that helps with humanitarian projects in India serving impoverished children and women in the areas of education and vocational training. Since he joined the Bloomberg Quantitative Research Group, Arun has worked on stochastic volatility models for derivatives and exotics pricing and hedging (e.g., variance swaps and VIX Futures fair pricing and cross-currency volatility surface construction) and at the intersection of diverse areas such as data science, innovative quantitative finance models across asset classes, and using machine learning methods to help reveal embedded signals in traditional and alternative data that can be used to construct quantitative trading strategies. He holds a PhD in computer science and applied mathematics from Cornell University and a bachelor of technology in computer science from IIT Delhi. Arun lives in central New Jersey with his lovely wife and two children.

Sessions

14:0014:40 Thursday, June 20, 2019
Arun Verma (Bloomberg)
Average rating: ****.
(4.00, 1 rating)
To gain an edge in the markets, quantitative hedge fund managers require automated processing to quickly extract actionable information from unstructured and increasingly nontraditional sources of data. Arun Verma details AI and machine learning (ML) techniques in quantitative finance that lead to profitable trading strategies. 了解更多信息.