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Big Data Finance 2014

Irene Aldridge

Friday, February 14, 2014 from 1:00 PM to 6:00 PM (EST)

New York, NY

Big Data Finance 2014

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Ticket Type Remaining Sales End Price Fee Quantity
General Admission Sold Out Ended $40.00 $0.00
Last Minute Rush 5 Tickets Ended $55.00 $0.00

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Event Details

*** UPDATE ***

The terrific line-up of speakers includes world stars in the field of Big Data Finance presenting their latest research.  Among the confirmed presenters are:

Dennis Shasha, New York University

James Sinclair, MarketFactory

Petter Kolm, New York University

Lawrence Glosten, Columbia University

Jim Angel, Wharton School of Business and University of Georgetown

Steve Shreve, Carnegie Mellon University

Marco Avellaneda, New York University, Courant Institute 

Marcin Osiecki, Morgan Stanley

Dongsheng Lu, Bank of America Mellon

Jake Loveless, Lucera HQ

Stefan Karpinski, MIT

Sasha Stoikov, Cornell University

Irene Aldridge, ABLE Alpha Trading, LTD.

Don't miss your opportunity to learn of the latest directions in Big Data Finance, and to network with likeminded colleagues!

***

Big Data is generated by numerous professionals.  Scientific parsing of big data is encountering challenges in the ability to process the data to produce meaningful inferences.  The workshop “Big Data Finance” will assess the importance of Big Data in Finance today and in the near future, and will consider the impact of big data on financial engineering, financial analysis, management and regulation.  In particular, the workshop will address the following aspects of big data:

  • The cost of latency in today’s financial markets and market systems
  • Fast data analytics and financial econometrics
  • Efficient design of Big Data Algorithms, whether in data-driven exploration or algo-based analysis
  • Fast and efficient management of Big Financial Data
  • Scaling mathematical analysis of Big Data
  • Algorithmic and High-Frequency Trading

 

The Big Data Finance Workshop 2014 is Differentiated by the Following Key Factors:

  1. Superior quality research, presenters and attendees
  2. Outstanding content, latest research in the space

The target audience includes quantitative finance and big data practitioners in the academia, the government and the following industries:

  • Alternative investment analysts
  • Asset managers
  • Algorithmic and High-Frequency traders
  • Risk officers and managers
  • Financial technologists
  • Financial developers
  • Financial engineers
  • Heads of trading
  • Institutional investors
  • Other investment professionals
  • Legal advisers
  • Quantitative traders
  • Trading system architects

Big Data Finance 2013 event was attended by about 200 quantitative finance practitioners


Schedule

1:00-1:15 Opening Remarks

1:15-1:45 Keynote Speaker

1:45-2:50 Session 1.  Chair TBA

  • o    1:45-1:50 Chair 1 remarks
  • o    1:50-2:10 Speaker 1 TBA
  • o    2:10-2:30 Speaker 2 TBA
  • o    2:30-2:50 Speaker 3 TBA

2:50-3:10 Coffee Break

3:10-4:15 Session 2.  Chair 2 TBA

  • o    3:10-3:15 Chair 2 remarks
  • o    3:15-3:35 Speaker 4 TBA
  • o    3:35-3:55 Speaker 5 TBA
  • o    3:55-4:15 Speaker 6 TBA

4:15-5:10 Panel, Big Data in Science, Technology and Finance

5:10-5:15 Conclusions: Future Prospects

5:15-6:00 Networking Reception


Have questions about Big Data Finance 2014? Contact Irene Aldridge

When & Where


Courant Institute, New York University, WWH 109
251 Mercer St.
New York, NY 10012

Friday, February 14, 2014 from 1:00 PM to 6:00 PM (EST)


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Organizer

Irene Aldridge

http://www.BigDataFinanceConference.com/BigDataFinance2014

  Contact the Organizer

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