Brad Bailey

Research Director
Celent

Brad Bailey is Research Director for Celent, a financial technology research and advisory firm where he is based in New York. He is an expert in emerging technology, market structure and fixed income trading. He has twenty years of Wall Street strategy, technology and trading experience. He also held sales trader roles in listed and OTC fixed income products. A noted thought leader, he is frequently quoted in the industry and general press, including: WSJ, Financial Times, Bloomberg Business Week, Forbes, as well as the BBC and Bloomberg TV.

Prior to Celent, he looked at strategic opportunities for KCG Holdings. He also served as director on the boards of a trading infrastructure firm, a European exchange, and a credit technology firm. Prior to KCG, he worked in other roles where he consulted on electronic trading and market structure; and, as a trader, where he developed equity strategies that leveraged the interaction between credit spreads and stocks. He has a BS and MS in engineering.

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

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Summit Day 2

Friday, March 6th, 2015

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?