"Go beyond the program!" -Sai Raman
Sai Raman graduated from the Financial Math Program in May 2015. He is currently working as Business Controller at Credit Suisse, in North Carolina. Sai did his Bachelors in Mathematics in India before completing his Masters in Financial Mathematics at NC State. Sai had the opportunity to do a summer internship at GE in Australia and was an active student participating in several musical events at NC State.
Why did you decide to get a Master’s Degree in Financial Math program at NCSU?
Sai: I completed my Bachelors in Mathematics and was planning to further my studies. I felt a combination of Computer Science, Finance and Mathematics would be my area of interest. I did some research on graduate programs that combined those focuses and decided Financial Mathematics was the right direction to head in, and I liked NC State's program.
Did you do an internship while you were in the Financial Math program, and if so, please tell me about your internship experience?
Sai: Yes, I did an internship at GE (General Electric) in Australia. My internship work combined mathematics and statistics. I built metrics tool to calculate the online time delivery for GE equipment for an oil project. I used Data Manipulation techniques and Statistical analysis models to build a dashboard that could give desired output in 30 seconds.
It was a great learning experience to work for a big company like GE. The internship helped me to enhance my professional business skills such as improving my communicational skills. I am able to carry the knowledge and experience into my current role at Credit Suisse.
Can you explain more about your current job?
Sai: I work as a Business Controller at Credit Suisse. My job is focused on reviewing the P&L (Profit & Loss) after every trading day. Generally, for every single trading desk, there is a control team behind it and I belong to Emerging Market Group trading risk. We review the trades of the previous day, see the impact of P&L for every market move in the trade and calculate the risk based on the linear approximation for a portfolio and then compare to the actual P&L. Then we check how accurate our models are and see if any assumptions were
considered wrong. Then correct the wrong assumptions and re-do everything. Mostly MS-Excel is used for the calculations.
Sounds interesting, can you tell us a little more about your job at Credit Suisse?
Sai: The job is rewarding and challenging. The first two weeks we had a training program from all new employees of Credit Suisse from New York. However, the job forces us to continually learn daily with new challenges and situations to problem solve. Dealing with P&L of big amounts daily makes my work interesting. There will be days where we see millions of dollars missing in the accounts, few due to some technical reasons and few due to real market reasons. It is the Business Controller's role to come into the picture and resolve the issue. Sometimes the work becomes very hectic, especially the month end and first 10 days of the month. Work day can start in the morning 8.30 and end by 8.30 in the night. The rest of the month the work-load is normal.
Tell us about the interview experience with Credit Suisse?
Sai: The interview went quite smoothly. I attended an information session held by Credit Suisse in our one of the Friday Seminar classes, Later I went and spoke to the people and applied online for a few finance jobs. The following week, I got a call from Credit Suisse asking for my work interest and was invited for an on-site interview. There were two rounds of interviews, mostly testing my knowledge and experience from my resume.
In your opinion, what courses are more important and which concepts are more useful at your current place of work?
Sai: In my perspective, all the courses are equally important. Financial Mathematics and Computational Methods in Finance are the courses that I am currently applying at my job. I personally like these subjects very much and I have always paid special attention to those courses. I did a project on pricing barrier options using a single algorithm; that was a very good learning experience.
Solid understanding of Financial Mathematics (MA 547) helps a lot in the Computational Finance course (ECG 766).
What are the suggestions you want to give for the current and future students of Financial Math?
Sai: Go beyond the program. The program gives you the foundation and direction, but take it one step further. Take the FRM exams. Do projects. Apply for jobs with plenty of time and apply for many positions as the job market is very competitive. Network and get connected to Human Resources and recruiters through
Thank you Sai!