September 3, 2013
Media Contact: Phil Sneiderman
Office: (443) 997-9907
Cell: (410) 299-7462
In a move that will give financial mathematics students increased exposure to strategic internships and to experts working in today’s ultra-competitive financial services field, The Johns Hopkins University’s Whiting School of Engineering has entered into a partnership with Baltimore-based Campbell & Company, one of the oldest and largest investment management firms in the world.
Under the terms of the agreement, Campbell financial experts will teach a fall semester course in investment science through the university’s Department of Applied Mathematics and Statistics and will offer a paid internship to up to three Hopkins students throughout the year. During these internships, the students will collaborate with Campbell’s research team to solve advanced challenges in financial engineering and quantitative finance, acquiring and sharpening skills that will give them an edge when searching for permanent employment.
“This will be a mutually beneficial partnership, giving our students the opportunity to learn – inside the classroom and out — from experts working in the field professionally and facing the issues that people in that industry face,” said Daniel Naiman, chair of the Department of Applied Mathematics and Statistics at the Whiting School. “And Campbell gets exposure to our very talented and motivated pool of students, both as interns in the short term and as future employees. We’re excited at the opportunity to grow our relationship with Campbell, which has already involved interactions between Hopkins faculty and Campbell researchers.”
The first investment science class under the new partnership gets underway next week and will be taught by Peng Liu, a researcher at Campbell and a 2013 Ph.D. graduate of the Department of Applied Mathematics and Statistics. Liu worked as a research intern at Campbell when he was a Hopkins student.
The course and internships are open to both undergraduate and graduate students studying in a variety of engineering disciplines.
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