Кога
септември 3, 2020 @ 7:30 pm – 8:40 pm
2020-09-03T19:30:00+03:00
2020-09-03T20:40:00+03:00

*The event will be in English.
This event is part of the DEV.BG Machine Learning user group.

Program:
>>> What is factor-based / smart beta investing?
>>> Our aim: multi-factor corporate fixed-income smart beta
>>> How do we use machine learning in building a systematic investment factor in corporate fixed income?

>>> Q&A part;

Speakers: Antti Harju & Emil Margaritov
Antti Harju
>>> Antti Harju is a member of Factset risk research team focusing on credit and liquidity risk;
>>> He worked for Bloomberg in a derivatives research team before joining Factset;
>>> Antti holds a PhD in applied mathematics.
Emil Margaritov
>>> Emil Margaritov is part of the Alpha Analytics and Optimization team at FactSet where his main area of focus is on the research and development of systematic smart-beta investment products;
>>> Prior to joining FactSet he was a quantitative researcher at the systematic Macro team of a multi-strategy hedge fund at BlackRock where he specialized in developing quantitative investment products in fixed income and currency space;
>>> He holds a PhD degree in economics.

Supported by: Hyperscience & Factset & Lab08
HyperScience brings AI to the office. Through ML solutions they help various enterprises and government institutions to automate the hectic back office work.
FactSet delivers superior analytics, service, content, and technology to help more than 88,000 users see and seize opportunity sooner.
Lab08 is one of the youngest software companies in Bulgaria, which develops products in the field of HR, consumer tests, social media and more. It is mainly made up of professionals with invaluable experience in building big data systems with multiple integrations.

This is an online event. Register and few hours prior to the event you’ll receive an attendance link.

User group: Machine Learning
Organized by DEV.BG
September 3rd, 7:30 pm