Bruce (Yuning) Zhou (MFE ’21)
Algorithmic Research Analyst, RBC
“The MFE career support team helped me refine my resume, prepare for interviews and land my summer internship through alumni connections. They also provided support throughout my internship experience, and I was able to meet many alumni in person in the New York City event. I am really grateful for the wonderful opportunities made possible by the MFE career team.”
Charlotte Smith (MFE ’21)
Data Analyst, Stifel
“The guidance provided by the MFE career support team has been fantastic. What struck me is their ability to assist in identifying your strengths and how to leverage them to set you apart from other applicants. They take the time to delve into your resume and ask questions such as ‘What responsibilities have you enjoyed throughout your career?’ and ‘What do you want in your future position?’ They also provide excellent insight into the industry and merge your strengths and interests to find the best position for you.”
Armando Guerrero (MFE ’21)
Quant Research Analyst, BlackRock
“The MFE program is a learning-packed endeavor that greatly prepares one to enter quantitative finance. Being exposed to various ideas, models and concepts in lectures, in addition to learning the language of finance, as well as career-related support such as the quant interview prep sessions, really helped me get to where I wanted to be.”
What We Offer
All students are strategically matched with an MFE alum based upon career path interests. In this program, students practice and gain experience in behavioral and technical interviews.
Quantitative Finance Fellowship
This fellowship matches outstanding students with industry professionals who act as mentors, providing fellows with a unique, 360-degree perspective on the industry. These student fellows also receive a nominal fellowship award.
UCLA Anderson Master of Financial Engineering Propels Careers
Our MFE’s represent a steady and upward trend in their careers following the program. Within our vibrant and well-connected alumni community, our MFE’s continue to be on the rise!
Analyst, Capital Solutions Group at Capital Group
Los Angeles, California
From actuarial consulting at Deloitte to multi-asset portfolio management at Capital Group
Data Science and Machine Learning at VMware
Seattle, Washington
From quantitative asset allocation at PIMCO to data science and machine learning at VMware
Client Engagement Manager at BlackRock
San Francisco, California
From Structured Finance at Moody’s Analytics to Client Engagement at BlackRock
Vice President at Citi
San Francisco, California
From complex securities at Deloitte to quant research at Morgan Stanley to equity derivatives at Citi
Machine Learning at Facebook
San Francisco, California
From machine learning at LinkedIn to machine learning at Facebook
VP, Customer Analytics at Morgan Stanley
New York, New York
From VP, Quant at Dhandho Funds to EXL as a Senior Manager to Morgan Stanley Data Science and now VP Analytics and Data