Within six months, all graduates of the Financial Analytics program secured employment (Class of 2019)
Today’s technology-intensive finance industry is desperate for analysts who bring statistical and programming skills to banks, hedge funds and wealth management offices.
Unlike financial engineers, who use mathematical modeling and computer science skills to create algorithms and tools, financial analysts combine their programming skills with talents in data analysis and statistics to design innovative solutions to the finance problems of the future. They also use excellent business and communication skills to assess client needs and make recommendations to executive teams.
The Stevens master’s in Financial Analytics teaches professionals to apply their physics, statistics or engineering skills to the lucrative finance industry. You’ll learn from faculty whose insights are changing how the industry is thinking about concepts like machine learning, data modeling and optimization in finance. You’ll take courses in one-of-a-kind financial labs, home to the data analysis and visualization tools used on Wall Street. Most importantly, our location on the Hudson River ensures you’ll have regular interaction with industry recruiters in New York City, just 10 minutes away by train or ferry.
Meet the director: Dr. Ionut Florescu
Professor Florescu is an expert in the development of stochastic models and their application in solving problems. He is the editor of High Frequency, a journal developed in collaboration with Wiley; has received notable grants from Nvidia, the National Science Foundation and the CME Foundation; and has written three books and edited four others. He is the director of the Hanlon labs at Stevens.