Abstract: Natural Language Processing (NLP) is an evolving field within machine learning that is impacting financial markets by extracting value from unstructured content. The technology has been instrumental in the continued adoption of alternative data in the investment industry, and is contributing to the ever-expanding data mosaic available to hedge funds and asset managers. In his talk, Peter will provide an overview of both common and more novel sentiment use-cases within Equity, Macro and ESG investing. In addition, he'll show-case how news co-mention networks can help investors improve their risk management and investment processes.
Bio: Peter is the head of data science at RavenPack. Since joining RavenPack in 2008, he’s been a pioneer in the field of applied news analytics bringing alternative data insights to the world’s top banks and hedge funds. Peter has more than 15 years of experience in quantitative finance with companies such as Standard & Poor's, Credit Suisse First Boston, and Saxo Bank.
He holds a Master's degree in Quantitative Finance from Sir John Cass Business School along with an undergraduate degree in Economics from Copenhagen University. Peter is a recognized speaker at quant finance conferences on alternative data and AI, and has given lectures at some of the world’s top academic institutions including London Business School, Courant Institute of Mathematics at NYU, and Imperial College London.
Chief Data Scientist | RavenPack