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Deep Learning for Financial Asset Management

Talk summary:

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.

Speaker Bio:

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