27 Jan 2022 / 13:00 - 13:45
AI in Finance and Accounting
Decision-making in finance involves discovering and summarising relevant information, generating trade ideas, performing post-hoc analyses, and publishing reports.
In this workshop we will look at how we at Bloomberg leverage recent developments in AI to enable intelligent ways for our clients to obtain market advantages in every step of their decision making process, at scale, and with high precision. We will cover applications such as extraction of relevant information from news or social media, classification of news by topics, and sentiment analysis for finding signals in the market.
Quantitative Analyst at Bloomberg
Miha Torkar graduated from MSc in Mathematical and Computational Finance at the University of Oxford in 2016.
Since then he has researched the connection between news stories and financial markets using natural language processing techniques at the Department of Artificial Intelligence at the Jozef Stefan Institute. In 2019, he started working as a Quantitative Analyst at Bloomberg in London, where his focus is pricing fixed income securities, such as corporate bonds.