I'm a graduate of May 2019 from FSRM. This program is truly awesome, every course is helpful and necessary for you to become a young profession in quant, especially in the field of risk management. The disadvantages are that you can only take 10 or 11 courses due to the two-year time limit, you have to make choices on what to take away from there.
The FSRM program at Rutgers helps me a lot to dive deep into the field of financial statistics and risk management and has given me an incredible experience to become a quantitative risk analyst.
The curriculum covers all key dimensions of financial statistics and risk management with an emphasis on real-world financial data analysis and applications. The professional services benefit a lot of students to get their first U.S experience in financial technology, brokerage and banking industries. The practitioner seminar invites outstanding
professionals from the industry, providing a good opportunity for us to learn practical applications and to network with potential employers. Some courses are instructed by the best industrial practitioner on Wall Street (2018 Buy-side quant of the year), demonstrating to us how statistical theories are applied in buy-side investment and risk management. Practical projects, real-world case studies, opportunities to talk with outstanding alumni and various workshops about financial theory, all keep students ahead of the curve and closely in tune with changing financial markets. The close-knit FSRM community always give me the feeling of being at home and supported.
I am always grateful with my studying experience at FSRM program, because the knowledge l learned here is exactly what is used in my career. From classical statistics inference to the modern data analysis techniques like machine learning, the courses almost include all fundamental techniques that are prevalent for decades in the financial risk management field, as well as some innovation aspects in the banking industry; From the real world probability measure learned in the regression and time series analysis, to the risk neutral probability measure introduced in stochastic process, the probability models enable me to analysis the world from both backward looking and forward looking.
I think the meaning of FSRM is not limited to my career path development, but also a such wonderful journey and life experience that allows me to wandering around different techniques to interpret data and explore the truth.