This talk covers applying deep learning to asset management. I will discuss 3 use cases, which are:
1. Identifying regime changes
2. Finding Semantically related financial research
3- Information extraction
In addition, I will discuss challenges in applying deep learning in this domain and alternatives to deep learning.
A side topic: Why might have Apple acquired DeepDive?
Registration information available here.
Pavan Mirla was the Data Science Lead of Manulife Innovation Lab. He has worked in large Asset Management for over 7 years. He was Sr. Quant Analyst of Manulife Asset Management, and Sr. Quant Analyst of CPP Investment Board. He previously worked for R&D teams at Cisco Systems and Bell Lab. He received his MBA in Finance from University of Toronto and B.E in computer science.
6:30–7 pm Meet and greet
7-8 pm Presentation and discussion
8-8:30 pm Social and catch up