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A career in financial engineering delivers positive impact

By The Berkeley MFE Program   |   Oct 23, 2023
Ten years into his career Luis Toro, MFE 14, still relies on lessons learned in his Berkeley Haas Master in Financial Engineering studies, and he retains close ties to the program as a career coach.

The Internship Experience: An MFE 2023 Journey

By The Berkeley MFE Program   |   Jan 24, 2023
Our students embarked on their 12-week internships at the start of October. While most programs offer a summer internship, Berkeley MFE students are given the opportunity to explore potential careers options th...

Q & A with MFE 21 Rena Chen

By Linda Kreitzman   |   Apr 09, 2021
Rena Chen came to the MFE Program in March of 2020 with a bachelor's degree in mathematics from the University of Waterloo. After her undergraduate studies, Rena worked as a consultant at Oliver Wyman. We sat d...

Q& A with MFE 21 William Lambert

By Linda Kreitzman   |   Mar 18, 2021
William Lambert came to the MFE Program in March of 2020 with a bachelor’s degree in applied mathematics from the University of Paris Dauphine and ENSAE Paris where he studied machine learning and financial mat...

Industry Projects Give MFE Students a Jump on Career Preparation

By Linda Kreitzman   |   Dec 07, 2016
The MFE Program at the Haas School of Business consistently brings industry projects to its students in addition to the built-in internship opportunity. In fact, MFE17 students Arsh Sood (above, right) and Aman...

Fresh Tsinghua Grad to Hedge Fund Researcher: Meet Shihong Wen

By Linda Kreitzman   |   Nov 09, 2016
Before attending the Berkeley MFE, Shihong Wen majored in Economics and Finance at Tsinghua University and gained quantitative hedge fund experience at KGO Information and Technology.

From M&A to MFE17 & Data Science: Meet Jimmy

By Linda Kreitzman   |   Sep 21, 2016
Before joining the Berkeley MFE Program, Jinyu (Jimmy) Feng worked on M&A deals as an Investment Associate at Octopus Holdings where he spent time working with and experiencing the academic side of big data...