Computational Finance
& Risk Management

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CFRM

The Computational Finance and Risk Management (CFRM) program addresses the demand in the financial services industry for advanced quantitative computational finance competencies and next-generation risk management skills. CFRM provides students with a rigorous mathematical and statistical foundation as well as extensive instruction in the use of open source R-programming. The program courses are taught by an interdisciplinary team of professors with backgrounds in Applied Mathematics, Economics, and Statistics as well as a diversified set of financial industry professionals who serve as adjunct instructors. Established by the Department of Applied Mathematics at the University of Washington, the CFRM program offers rigorous and relevant instruction grounded in both theory and practice. Recognizing the rapidly changing landscape in finance, CFRM adapts to equip students with skills and knowledge that will enable them for future success.


Celebrating 10 years of the Computational Finance and Risk Management graduate programs. Thank you to students, staff and faculty for being a part of CFRM over the last decade!

The University of Washington’s Computational Finance and Risk Management MS degree achieved 15th place in QuantNet’s 2022 rankings of financial engineering MS programs.

CFRM Highlights

Alumni Spotlight: Wenxuan Wang
Alumni Spotlight: Wenxuan Wang
Alum Wenxuan Wang was a student in the Computational Finance and Risk Management Master of Science campus cohort of 2016. She obtained a summer internship...
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Alumni Spotlight: Ying Wang
Alumni Spotlight: Ying Wang
Alum Ying Wang was a student in the Computational Finance and Risk Management Master of Science campus cohort of 2013. Ying obtained a summer Quantitative...
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Parametric Fellowship Recipient Profile: Zeeshan Jawaid
Parametric Fellowship Recipient Profile: Zeeshan Jawaid
Computational Finance and Risk Management Program Director Tim Leung is proud to announce Mr. Zeeshan Jawaid as the first recipient of the Parametric Fellowship for...
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