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Quant Guide 2020: New York University (Courant Institute of Mathematical Sciences)
New York City, US
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New York University’s Courant Institute of Mathematical Sciences hosts one of the two NYU master’s programmes in this year’s Risk.net quant guide; the Tandon School of Engineering, across the river in Brooklyn, hosts the other. Both programmes are ranked in the top 10 this year, and one might imagine that a degree of friendly competition exists between them; Courant has the advantages of proximity to the main NYU campus in Greenwich Village, while students at Tandon enjoy a shorter travel time to Wall Street.
Courant’s programme is completed in three semesters, over the course of a year and a half, and it boasts a 100% graduate employment rate. Its academic director is Petter Kolm, a clinical professor of mathematics. He says he keeps the programme up to scratch with the changing demands of employers with the help of a faculty full of “industry veterans” – several Risk.net quant of the year award winners among them, including Leif Andersen and Fabio Mercurio, and a lifetime achievement award winner in Bruno Dupire.
Over the past year, the master’s has made several additions to its curriculum. These include a two-week boot camp before classes begin, which focuses on basic career skills and object-oriented programming in Java. New modules include Python programming language and the Pandas software library, as well as machine learning and computational techniques for quantitative finance. Kolm leads a new seminar series, open to students and the quant community at large, on the topic of mathematical finance and financial data science.
Graduates, Kolm says, are taking jobs in buy-side and machine learning-related positions in growing numbers. Staff have also seen an uptick in hiring for regulatory and risk management roles.
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