Gaurav Chakravorty

Co-founder and Head of Strategy Development
qplum

Gaurav Chakravorty is a co-founder and 'head of strategy development' at qplum, a money manager with completely data science-driven strategies. qplum is also the first successful money manager to provide all their strategies via API to other asset managers. In addition to the aforementioned activities, qplum acts as a roboadvisor in futures and ETFs.

Prior to this, Gaurav has been one of the early pioneers in machine learning based high frequency trading. He built the most profitable algo trading group at Tower Research from 2005-2010 and was the youngest partner in the firm.

Check out the incredible speaker line-up to see who will be joining Gaurav.

Download The Latest Agenda

Summit Day 2

Friday, March 6th, 2015

11:40 360° Perspective: Embracing a new mindset - How must the buy and sell side adapt to promote innovation and prosper in this new market structure?

As fixed income markets transform and the way you trade on a daily basis changes, many industry experts not only suggest that changes in technology and market structure is required, but also a change in mindset. With your roles and the way you plan and execute trades changing, new innovative ways of thinking and working also need to be adopted to help both the buy side progress and harness change. Attend this industry leading panel where they will discuss: 

How do both the buy side and sell side need to change behaviorally as innovation continues to revolutionize fixed income markets? 
How is automation changing the dialogue between portfolio managers and traders? 
How are buy and sell side firms adapting their trading and investment protocols to adapt and prosper in a changing market structure? 
Is a behavioral change needed to help unlock new liquidity and push innovation further across the market?

14:00 360° Perspective: Big data analytics - How can you tap into new data sources and make sense of all your data and to improve your investment strategies.

Although various fixed income asset types may appear to be good investment targets, analyzing the risks is vital to overcome the many challenges provided with new investment strategies. Therefore, the correct and proper use of data and analytics is bearing increasing importance across fixed income markets. During this session our expert panelists will provide insights on:

How do different market participants from the buy and sell side rank their data to establish effective trading recommendations?
What are the current limitations of market data and how can you overcome this to solidify your trading strategy?
How can a reliable information network be established which provides consistent ways to communicate data?
How to you ensure the data that is provided by third parties is managed properly and reliable to support your trading analysis?
How can data be distributed more efficiently across the entire fixed income value chain?