Quantitative finance
WHAT IS THIS? Quantitative finance is a field of applied mathematics concerned with financial markets. In banking, it spread from the pricing of derivatives to the modelling of credit, market and operational risks. Today’s quantitative analysts are scattered across a range of functions, from risk management and model validation, to data science, algorithmic trading and regulatory compliance.
Quant Guide 2019: Fordham University
Gabelli School of Business, New York City, New York, US
Quant Guide 2019: EISTI
Cergy-Pontoise, France
Quant Guide 2019: Paris-Diderot University
Paris, France
Quant Guide 2019: Carnegie Mellon University
Tepper School of Business, Pittsburgh, Pennsylvania, US
Quant Guide 2019: Massachusetts Institute of Technology
Sloan School of Management, Cambridge, US
Quant Guide 2019: University of St Gallen
St Gallen, Switzerland
Quant Guide 2019: Baruch College, City University of New York
New York City, New York, US
Quant Guide 2019: Boston University
Questrom School of Business, Boston, Massachusetts, US
Quant Guide 2019: Princeton University
Bendheim Center for Finance, Princeton, New Jersey, US
Quant Guide 2019: University of Chicago
Chicago, Illinois, US
Quant Guide 2019: University of Amsterdam
Amsterdam, Netherlands
Quant Guide 2019: University College London
London, UK
Quant Guide 2019: King’s College London
London, UK
Quant Guide 2019: University of Oxford
Oxford, UK
Quant Guide 2019: University of Waterloo
Waterloo, Ontario, Canada
Quant Guide 2019: Erasmus University Rotterdam
Rotterdam, Netherlands
Quant Guide 2019: University of Florence
Florence, Italy
Quant Guide 2019: NYU Tandon
Tandon School of Engineering, New York City, New York, US
Quant Guide 2019: City, University of London
Bayes Business School (formerly Cass Business School), London, UK
Quant Finance Master’s Guide 2019
Risk.net’s guide to the world’s leading quant master’s programmes, featuring a ranking of the top 15 schools
Princeton tops inaugural Risk.net quant master’s ranking
Course sees off competition from Berkeley’s Haas and three New York schools
Degree of influence: are machines starting to learn finance?
This year's analysis recognises a turning point in machine learning applications