CLASS-L Archives

November 2010

CLASS-L@LISTS.SUNYSB.EDU

Options: Use Proportional Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Fionn Murtagh <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Date:
Tue, 16 Nov 2010 18:19:06 -0500
Content-Type:
text/plain
Parts/Attachments:
text/plain (37 lines)
Posted for Gagan Dhanjal
Waterfront International Ltd
(P) 416-956-4355
95 Wellington Street West
Suite 1900
Toronto, ON M5J 2N7


Data Mining Analyst

Waterfront International is a Toronto-based financial consulting firm, specializing in developing computer based statistical trading strategies.  Waterfront’s selective hiring process considers only highly talented individuals with a history of exceptional professional and academic achievement, and solid real-world experience.  

Primary Responsibilities:
•	Perform financial market data research and analysis to identify and resolve data issues using advanced data mining techniques.
•	Develop proprietary data mining tools and applications.
•	Develop predictive models.

Requirements of the Candidate include:
•	PhD or Masters in mathematics, statistics or computer science specializing in data mining.
•	Experience with machine learning and knowledge discovery techniques.
•	Solid quantitative background with excellent analytical skills.
•	Strong working knowledge of data mining and statistics.
•	Must possess expert level C/C++ programming skills.
•	Some financial experience desired but not required.
•	Must be a strong self-starter and able to work well independently.

Waterfront International
Email:  [log in to unmask]
95 Wellington Street West, Suite 1900
Toronto, Ontario
Canada
M5J 2N7

----------------------------------------------
CLASS-L list.
Instructions: http://www.classification-society.org/csna/lists.html#class-l

ATOM RSS1 RSS2