Hedge Fund Recruiter, Hedge Fund Jobs, Hedge Fund Law- Tyler Capital Group takes lead with tech

Sept. 17, 2012 - PRLog -- Hedge Fund Recruiter, Hedge Fund Jobs, Hedge Fund Law- Tyler Capital Group takes lead with technology platforms integrating candidate management systems, with natural language processing, pattern recognition and textual interpretation tools to create automated outreach campaigns across countless social networks.  
For more on the team visit:

http://www.tylercap.com

Founder and COO, Jonathan Buffa, has with several hedge funds who will begin utilizing TylerCap's platform as soon as October 2012.  TylerCap began deployment of  4 new platforms earlier this month which are now available to investment professionals, globally.  

Developments include

www.leadingalpha.com
http://www.hedgefundmandates.com
www.spotquant.com

"We understand the changing landscape, not only in the human capital markets but in all markets aimed at bringing together an X with a Y.  Technology currently implemented in our Mandate Matcher known as M2,  News Crawler HedgeShort and SMS Swarm -conceptually serve as the core delivery systems for many of our future deployments." said Jonathan Buffa in phone interview with CNBC.

Tyler Capital Group, established in 2008 as a hedge fund solutions firm quickly grew to be the industry leader and proved to outperform while his systems were in beta testing.  Utilizing Sequential Proxy Optimization Theory (also known as SPOT) TylerCap continues to build off this technology integrating quantitative modeling, machine learning, neural networks, pattern recognition and partial differential equations, confident to be the first in digital surrogatery, and CloneOS systems available for the consumer public.  

More on SPOT - interactive multiobjective decision-making technique for solving multiobjective optimization problems: the sequential proxy optimization technique (SPOT), is presented. Using this technique, the preferred solution for the decision maker can be derived efficiently from among a pareto optimal solution set by assessing his marginal rates of substitution and maximizing the local proxy preference functions sequentially. Based on the algorithm of SPOT, a time-sharing computer program is also written to implement man-machine interactive procedures. The industrial pollution control problem in Osaka City in Japan is formulated and the interaction processes are demonstrated together with the computer outputs.

http://www.tylercap.com/main

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