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Jeffrey C Lamarque

from New York, NY
Age ~46

Jeffrey Lamarque Phones & Addresses

  • 312 W 89Th St APT 6, New York, NY 10024 (212) 754-5463
  • 141 Clark St, West Hollywood, CA 90001 (310) 247-1847
  • 625 Sycamore St, Los Angeles, CA 90036 (323) 634-1893
  • 1727 Kelton Ave, Los Angeles, CA 90024 (310) 479-3660
  • New Orleans, LA
  • 1216 Arbor Gates Dr, Atlanta, GA 30324 (404) 442-7376
  • Boston, MA

Work

Company: Bank of america Nov 1, 2009 Position: Market information manager

Education

Degree: Master of Business Administration, Masters School / High School: Ucla Anderson School of Management 2006 to 2009 Specialities: Business Administration, Management, Business Administration and Management

Industries

Financial Services

Resumes

Resumes

Jeffrey Lamarque Photo 1

Market Information Manager

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Location:
Birmingham, AL
Industry:
Financial Services
Work:
Bank of America
Market Information Manager

Boeing Oct 2003 - Nov 2009
System Engineer
Education:
Ucla Anderson School of Management 2006 - 2009
Master of Business Administration, Masters, Business Administration, Management, Business Administration and Management
Massachusetts Institute of Technology 1996 - 2000
Bachelors, Bachelor of Science, Chemical Engineering
Jefferson County Intl. Baccalaureate School

Publications

Us Patents

Financial Product Application Pull-Through System

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US Patent:
20120066104, Mar 15, 2012
Filed:
Sep 10, 2010
Appl. No.:
12/879857
Inventors:
Jason Thalken - Reseda CA, US
Jeffrey Lamarque - Los Angeles CA, US
Assignee:
BANK OF AMERICA CORPORATION - Charlotte NC
International Classification:
G06Q 40/00
US Classification:
705 35
Abstract:
A method evaluates a prediction set of financial product applications. The method builds a multi-dimensional observation grid of observation grid points, each corresponding to at least one past financial product application in an observation set and each populated with the one or more variable values and the observation result value associated with the past financial product application. The method includes building a multi-dimensional prediction grid comprising a plurality of prediction grid points, each corresponding to a present financial product application in the prediction set and populated with one or more variable values of the present financial product application, each also corresponding to an observation grid point and assigning a prediction result value for each prediction grid point. In some embodiments, the method defines an observation set and a prediction set comprising a past and a present financial product application, respectively, each application including two or more corresponding variable values.
Jeffrey C Lamarque from New York, NY, age ~46 Get Report