Computational Finance Careers
The program is designed for students interested in careers related to computational or quantitative finance. These careers specifically call for knowledge of mathematical and statistical tools such as differential and stochastic calculus. These are careers in financial institutions and corporations involving modeling and data analysis.
Top Growth Careers
The program addresses a vital and growing career field, reaching beyond banking and finance. Typical job titles include: Risk Analyst, Research Associate, Quantitative Analyst, Quantitative Structured Credit Analyst, Credit Risk Analyst, Quantitative Investment Analyst, Quantitative Strategist, Data Analyst, Senior Data Analyst, Fixed Income Quantitative Analyst, Financial Engineer, and others.
Computational Finance is an excellent career option for Business, Math, Engineering, Economics, Statistics, Computer Science, and other technically orientated professionals. Programming knowledge preferred.
Here you will find information regarding outcome data collected by our Office of Cooperative Education and Career Services, as well as median salaries for every program at RIT. You can also view RIT's Careers and Employment Trends page, which includes both Job Outlook and a summary of career outcomes for each’s year graduating class from RIT.
Saunders Finance Advisory Board
The MS in Computational Finance program is enhanced by the Saunders Finance Advisory Board (FAB). Its members bring expertise and guidance from global companies to assist Saunders in delivering the highest quality curricula that maintains an applied focus, and includes what employers are looking for in graduates of Saunders finance programs. To view board members and their bios please visit the FAB members page.
Connect on LinkedIn
Please see LinkedIn Career Insights for Saunders alumni of this program.
Check out Saunders MS in Computational Finance alumni profiles on LinkedIn.
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Program Alum's quote
Brittany Gleason, 2017
"I have gained an understanding of how to highlight my analytical skill sets and use them in the useful ways that employers are looking for."