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Welcome to Financial Statistics & Risk Management (FSRM)

The Financial Statistics and Risk Management Program (FSRM) at Rutgers University offers a 30-credit Master’s degree in Statistics focused on the analysis and modeling of financial data and risk management. Students in the program receive core training in probability theory, statistical inference and advanced statistical and computational methods tailored to financial data analysis and modeling and risk management. They also receive supportive education in related financial concepts and market structure, operations, trading instruments and risk-related regulation.

Courses are taught by a faculty of experts in the mathematics of uncertainty and in statistical modeling and data analysis. Industry practitioners also contribute to instruction and training through workshops and seminars. Students benefit from a dynamic learning environment featuring internships, projects and case study assignments using real financial data, as well as attendance at practitioner seminars, industry events, career development workshops and mentorship opportunities. By bringing together a world-class faculty, Advisory Board and university located close to New York City, the FSRM program prepares students for a wide range of careers in the financial industry.

A UNIQUE PROPOSITION

Traditional quantitative finance programs focus primarily on mathematical modeling for developing and pricing complex derivative products. Although fundamental financial engineering concepts, such as no-arbitrage pricing, risk-neutral valuation and stochastic calculus are a component of the FSRM Program, we are unique in emphasizing statistical tools and data analytics for measuring, monitoring, managing and mitigating uncertainty, risk and volatility. Students  do an in-depth studies of important topics such as advanced applied parametric and non-parametric statistical methods in finance; advanced time series analysis applied to financial and economic data and forecasting; multivariable regression analysis, data mining, data visualization and predictive analytics; algorithmic trading and portfolio management, statistical modeling of default probabilities, losses given default and exposures at default; scenario analysis and stress testing; event driven loss distributions for operational risk management and many other statistically driven topics as applied to financial data and risk management.

Our commitment is to ensure students are equipped to solve the complex problems financial institutions face today. We recognize that the standard assumptions or “stylized facts” of finance do not always apply in a real world situation. Students are taught to statistically examine and analyze the data for deviations from expected behavior and to use robust methods to mitigate and manage their impact.

PROFESSIONAL PARTNERSHIPS

The FSRM program has qualified for academic partner status with the leading industry risk  management associations, GARP and PRMIA.

Our Advisory Board

Our Advisory Board comprises senior executives from major financial institutions as well as academicians. Through semi-annual meetings and reviews, these leading practitioners and academics provide valuable feedback, ensuring the content of the FSRM program reflects the industry’s changing needs.

Practitioner Seminar and Practitioner as Instructor

The FSRM Practitioner Seminar series held once or twice a month brings leading professionals in finance and risk management to the campus to give  talks on the quantitative and statistical aspects of their work and advice to students  on managing their careers. Students are required to attend the seminars as part of the practical training component of the program, and they benefit by connecting what they learn in the series with the course content. Examples of past  practitioner seminars are posted on this site at 

In addition, the Practitioner as Instructor initiative brings practitioners into the classroom to teach selected topics such as regulatory-driven model development and validation and stress testing.

PLACEMENTS

FSRM graduates and students have accepted positions at Capital One, Deutsche Bank, Cantor Fitzgerald, Global Risk Management Advisors, Nomura, Morgan Stanley, JP Morgan, GENPACT, Bank of America, E&Y, KPMG and other financial institutions and advisories.

Want to Know More? Prospective Students click here or the main menu item "Prospective Students". Prospective Employers or Recruiters, see the "Student Gallery" in the main menu. 

STUDENT PROFILES & RESUMES

News & Events

RESOURCES AND ANNOUNCEMENTS: View resources and news about FSRM and check out our news letters.

FSRM is pleased to announce that, as part of the BS/MS program, GRE/GMAT score submissions are waived for admission applications by Rutgers undergraduates with cumulative GPA of 3.2 or better.

FSRM Selects Imagine Software, Inc. as Preferred Strategic Partner: Read more here

FSRM Application for PRIMIA Module 1, University Membership, Approved: Read more here.
Gordon Ritter, Senior Portfolio Manager, GSA Capital to teach FSRM "Advanced Statistics for Finance" course in Spring 2017: Read more here.

Contact Us

Dr. Neville O'Reilly, Associate Director
P 848-445-7669
E  fsrm@stat.rutgers.edu

FSRM Program
Rutgers, The State University of New Jersey
110 Frelinghuysen Road
479  Hill Center, Busch Campus
Piscataway, NJ 08854