Welcome

learn about msmf

Our degree program, "MSMF", integrates theoretical foundations with practical applications to quantitative finance. Core courses are offered by the departments of Mathematics, Statistics, and Electrical and Computer Engineering; electives are offered by these departments, the Business School, and the departments of Computer Science, Economics, Systems Engineering, and Operations Research.

What is Mathematical Finance?

Excellent descriptions of mathematical finance and the careers and opportunities available to students are provided by the International Association of Financial Engineers and the Courant Institute for Mathematical Sciences.For more technical information about quantitative finance and risk management, visit the websites of Global Derivatives, the Global Association of Risk Professionals, and Willmott.

 Careers

We prepare our graduates for rewarding careers in investment banks, hedge funds, asset management companies, financial software and data companies, and insurance companies, with roles in financial modeling and software development, model, market, credit, and operational risk management, asset valuation, trading desk support, trading, and portfolio management.

To see the latest MSMF placement information, please review the MSMF Career Employment announcement in our News.


Applicant Information

We encourage you to apply for admission well before the deadline. Applicants and prospective students are invited to attend one of our upcoming web conference application information sessions (please contact us for upcoming dates) or to meet the Director, Paul Feehan, during weekly office hours at the New Brunswick campus.

News & Announcements

Alumni & Graduates Celebration- Class 2019

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Launching Three New Certificate Programs in Fall 2019

Graduate Certificate in Data Science (for MSMF and FSRM students) - Click for details.

Graduate Certificate in Financial Statistics and Risk Management (for MSMF and MSDS students) - Click for details

Graduate Certificate in Mathematical Finance (for all students except MS Statistics students) - Click for details

For more information, please contact Professor Paul Feehan, Director of the Mathematical Finance Master’s Degree Program feehan (at) math.rutgers.edu.

Upcoming Events

Tue Sep 24 @11:50AM - 12:50PM
Optimal Bookmaking
Bin Zou - University of Connecticut
Tue Oct 01 @11:50AM - 12:50PM
TBD
Max Reppen - Princeton University
Tue Oct 08 @ 9:00AM - 10:00AM
Rutgers Mathematical Finance Open House Webinar
Come join us for our monthly MSMF open house webinar
Register here: https://msmf2019networkingevent.eventbrite.com
Tue Oct 08 @11:55AM - 12:55PM
TBD
Dan Lacker - Columbia University
Tue Nov 05 @11:50AM - 12:50PM
TBA
Ruimeng Hu, Columbia University

Past Events

Fri Mar 29 @ 2:00PM - 03:30PM
Career Seminar: Amazon Web Services
Alvin Huang, Project Manager, Capital Markets; MSMF Alumni, Class of 2009
Tue Apr 02 @11:50AM - 12:55PM
Yule’s “Nonsense Correlation” Solved!
Philip Ernst - Rice
Tue Apr 09 @11:50AM - 12:55PM
FBSDEs with discontinuous coefficients
Ludovic Tangpi - Princeton University
Tue Apr 23 @11:50AM - 12:55PM
Pricing Debt in Interbank Networks with Comonotonic Endowments
Zachuary Feinstein - Washington University
Tue Apr 30 @ 1:45PM - 03:00PM
Career Seminar: Atara Partners Capital
Rahul Sachdeo, Founding Partner