nyu ms quantitative finance essay

nyu ms quantitative finance essay

Pursuing an NYU MS in Quantitative Finance

1. Introduction

My foundations will be more profound. Your specialization cannot be found in financial engineering programs. Also, I am registered in beneficial NYU scholarship summer program at Courant in computer science, which can later help me have more experience on the computer vision side. The right foundations will open the door to academia and allow me to teach a large number of financial topics. Also, given that you have Zicklin’s membership at Courant, I know I will be in the hands of top scholars in many crucial fields. In which I will be advised, and I will work with top students who will help me establish extra-curricular projects and community help.

Such academic profile may offer exclusive job placement opportunities. Your school demonstrated excellence in Quant competition, establishing your relations with finance industry practitioners, resume workshops, and signification of jobs and internships opportunities. I am also interested in the mathematical finance program at Carnegie Mellon, but I am choosing your university because of its amazing interaction, career placement opportunities impact on the field, the faculty, and your flexible curriculum which allows choosing elective courses from other departments namely, statistical approach.

As financial markets grow more intricate and competitive, the need for robots, advanced modeling techniques, and relevant mathematics skyrocket. Getting into your MS in Quantitative Finance program will help me to reinforce my mathematical skills while exploring stochastic and computational finance, optimization, and risk management. Also, being competent in mathematical and computer modeling techniques for trade execution, portfolio structuring, and investment strategy planning is a must for a template Quant. You may expect me to prepare serious projects in either conceptual or purely computer sphere.

2. Program Overview

Not only does our program emphasize the excellent ties and resources that are available to students in New York, but also develops and delivers content and an environment where the students (regardless of the model or technique or technology they choose to use) have a systematic understanding of finance. This is evident through courses that emphasize integrating and testing appropriately subjects in computer science (AI is a recent addition) to well-established courses in economics and finance (for example, debt instruments, swaps, etc.) taught by industry experts. In addition, the faculty come to class with pragmatic insights, rounding up these aspects for students to develop into thought leaders.

A key player in global finance and the world’s economic centre, New York City has the largest banking assets in the US and contributes significantly to the country’s GDP. NYU’s headquarters are located in the heart of this pulsating city and the campus includes collaborative, interdisciplinary spaces where students, faculty, and researchers connect and discover new meaning and ideas. The curriculum’s foundation is the incredibly rich resources (people and otherwise) offered by both the School of Arts and Science and the Courant Institute of Mathematical Science. The faculty not only develop new and insightful methods but are also very generous in sharing them with students. As graduates, they emerge with a deep knowledge of finance and quantitative techniques best suited to succeed in this field.

3. Career Opportunities

We suggest students consider all areas as internship and employment opportunities. If the candidate does not join a buy side firm or directly into a trading job, some within those buy side and trading firms will wonder why the candidate did not. To that, I would say that the firm with the best candidate will typically hire them. Whether they have an internship or permanent hire with the title of trading or portfolio, one’s skills include problem-solving and understanding and applying QFN such that students can graduate and begin paths to become a quant or financial engineer. In any case, the best candidates can market themselves and carve out a path to a successful career.

The NYU MS in Quantitative Finance program has certain career management issues that are more associated with the MS degree as opposed to MBA programs. Given that the MS student is not typically employed at the onset of the program, I think the best way to search for a job or summer internship is through a school’s various resources. First, the students are going to have access to the faculty and the program’s administration. I think it is much easier to find a job if one has a face to attach to a resume. It is also much easier for the faculty or the administrative team to recommend or to hire a candidate that they have met or someone has vouched for. Another route to a job is through on-campus recruitment. The third route may be through events such as our annual Capstone Project Fair. Organizations in the NY metro area come to recent graduates of the various programs to search for talent. Finally, there are various events such as practitioner-led workshops which may help to introduce you to new employers.

4. Application Process

After you think you have looked at everything, note that there are tabs at the top of the page that bring up related pages. These are a list of all relevant courses in the Courant Institute site and information about the application process including the deadlines for the current and future years, which are very important and often fluid. This website is an excellent first step because it gives the feeling of how our program works, in terms of the classes that are offered, the schedule structure, and professors and alumni. After you spent some time looking at the courses offered and a sample schedule, you can spend more time discussing with people, asking questions, and deciding if this program would be beneficial for you. Whether you have a mathematics degree or an industrial engineering like me, if you are admitted to the programs there are three tracks for us: mathematical finance, risk, and entrepreneurship.

Before I even filled out my online application or looked at reference forms, I spent some time on the graduate program detail page on the Department of Mathematics website. Whenever new students ask me for advice about the application process or course information, this is the first place I refer them to. It details all of the statistics about our current and past classes, some words from the director of the program, and some testimonials from alumni. The interesting part comes next because the entire course structure is listed. The approximate timing of courses, examples of required courses, possible electives, and even a sample schedule for each track are given for the current students. Many of my friends have found this useful because they regularly asked me how other people fit the requirements of the program into a schedule.

5. Conclusion

Coming here, NYUSCPS, which offers the program MS in Quantitative Finance, one of the best quantitative programs around, is a foundation for students to live and work in the USA, focusing more on their major subject. At the scholastic level, it offers a big twist on students’ intuition and feeling about mathematics to be greater. Moreover, visiting and self-employed job opportunities, which are open in the field of finance, especially quantitative finance, outside NYUSCPS, will help me be more connected and gain more self-confidence in working with a variety of strong and profound worldwide scientists. In short, pursuing the master program in Quantitative Finance at NYUSCPS is my dream, which is finally coming true.

I am a very consultative person who always manages my time, money, and effort very carefully. And also, I can work under high pressure, so the key benefit I can see in pursuing a degree in Financial Engineering, when compared with other master programs, is that for all training classes, there are two student assistants who are the last class visitors to solve students’ questions and make me more comfortable. Moreover, the staff of our program usually spends half an hour before the pretest to inform students about what we need to know to pass the test.