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Master of Financial Mathematics (MFM)

The Master of Financial Mathematics (MFM) is a Professional Master Program at the University of Minnesota. The MFM helps students prepare for a career in Quantitative Finance or seek out higher level academic training. Quantitative Finance incorporates the disciplines of Mathematics, Statistics, Finance, Economics and Computer Science. It involves modeling uncertainty and risk related to financial markets driven by governments, corporations, individuals and other economic factors.

Some of the largest players in the field include a variety of investment firms, commercial banks, and insurance companies.

The understanding, reporting, managing and optimizing of financial risk is central to the work done in quantitative finance. Because there a high degree of big data, manipulating large data sets and programming are also critical in developing, managing and interpreting quant finance models.

High demand for people with technical skills and MFM background

A variety of organizations hire individuals with an MFM: commercial banks, investment banks, hedge funds, asset managers, insurance companies, private equity, fin-tech & software development, government, universities, commodities & agribusiness firms, financial research, ratings and consulting firms.  In these organizations MFM alumni take on roles such as: quantitative analyst, risk analyst, model validation analyst, data analyst, quant finance developer, trader, researcher (fixed income, equities, commodities), regulator and actuary.

 

Master of Finance Degrees: Financial Engineering Programs
QuantNet: Best Quant Programs, National - Ranked Top 30, 2017
International Association for Quantitative Finance: Academic Program Affiliate Member
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Master of Financial Mathematics

 Model risk management (and risk management) in general was my favorite area when I was a student in the MFM. I see elegant mathematical theories being applied in finance within risk, and it never gets boring.