AI & Data Science in Trading: Successful Integration of Quantamental Strategies to Generate Consistent Alpha

RavenPack | September 23, 2020

Watch RavenPack's head of quantitative research, Marko Kangrga discuss how firms can apply data science and quantitative methods in their investment decision and to generate alpha. Sign up to the webinar

Head of Quantitative Research, Marko Kangrga will be discussing best practices, use cases, and methods on how to apply data science and quantitative methods to generate alpha, and how firms can adopt a more quantitative approach moving forwards

The AI and Data Science in Trading digital day is based around quantamental strategies. Providing expert knowledge and methods that allow firms to overcome the challenges in blending strategies, as well as dealing with behavioural changes and technology when making investment decisions.

In his session, Marko will also be joined by:

  • Carson Boneck, Chief Data Officer, Balyasny Asset Management
  • Gareth Shepherd, Managing Director, G Squared Capital)
  • Robin Wigglesworth, Global Financial Correspondent, Financial Times (Moderator)

When :
Wednesday September 30th, 2020
10am EST / 3PM BST

Where
Online Event
AI Data Trading Digital Day

RavenPack Presents:


Marko Kangrga

Head of Quantitative Research RavenPack

Marko is the Head of Quantitative Research for the Americas at RavenPack with over 10 years of experience in the finance industry. He focuses on exploring novel approaches and techniques for combining fundamental drivers with big data quantitative frameworks to identify alpha opportunities from a wide universe of securities across multiple asset classes.

Previously, as the head trader/investment analyst at an event-driven hedge fund in New York, he was responsible for macro research, idea generation and risk management. Marko has experience in utilizing quantitative methods in portfolio construction, developing hedging strategies and trading structured derivative instruments. He earned a B.S. degree in Finance, summa cum laude, with a minor in Computer Science from the University of Evansville in 2008.



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