Quant Guide 2022: Johns Hopkins University

Baltimore, Maryland, US

 

 

Johns Hopkins University’s three-semester Master’s in Financial Mathematics is now home to 54 students, up from 26 in the 2020 edition of the Quant Guide. It remains led by academic director and professor of applied mathematics and statistics Daniel Naiman.

The master’s has gone on a hiring spree to match over the past 12 months, appointing nine new instructors. They include: postdoctoral fellow Christian Kümmerle, who researches data science; Sergey Kushnarev, a senior lecturer in applied mathematics and statistics, formerly of the Singapore University of Technology and Design; Elizabeth Reiland, who is a member of Johns Hopkins’ faculty of applied and computational mathematics; and Soledad Villar, an assistant professor of applied mathematics and statistics and a member of the university’s mathematical data science institute.

New course material has also been incorporated. A class in stochastic processes and finance applications has gained a machine learning component, and two entirely new classes – in multi-asset derivatives, and commodity markets and green energy finance – have been added.

Senior academic programmes co-ordinator Lisa Wetzelberger says that the pandemic made tracking graduate employment routes tougher than usual, however.

“Most of our students are from China, and it has been challenging to communicate with them ... Most students appear to be entering the financial sector, as expected, but we lack data on nearly half of the graduates from 2020–21,” she says, with students less responsive to employment surveys.

Despite some missing data, graduates of the master’s are now earning an average starting salary of $108,127, the programme reports, up from $91,100 in 2020.

View this institution’s entry in the 2020 guide

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