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Sop for Cass

By:   •  Essay  •  527 Words  •  March 29, 2010  •  1,081 Views

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Sop for Cass

I am applying for admission to the MSc. program in Mathematical Trading and Finance because I want a career in the area of mathematical finance. In particular, I am interested in the application of mathematical methods to the various areas of finance. In order to gain an appreciation of these and related issues, it is essential for me to have a strong grounding in the areas of advanced mathematics as well as to gain a Finance perspective.

I believe that my educational background has instilled in me the qualities required to meet the rigor of this demanding profession. Graduation in Engineering has provided a strong foundation in Mathematics and Computer Programming. During the course of my Engineering education I took up a project with Indira Gandhi Centre for Atomic Research (IGCAR), India’s premier centre for atomic research. This project of developing the software for processing reactor data, requiring extensive use of C programming language and Unix, for the first time gave me a real world experience of programming. This association helped a lot in consolidating my programming skills, especially in C language. Thus, it inculcated in me problem solving and analytical abilities.

After completing my graduate degree, I joined Tata Consultancy Services (TCS), Asia’s largest software firm as an Assistant Systems Engineer. After a 3 month intensive training in software methodology and management skills, I joined a team which was building a Trading System for a Stock Exchange. I played an integral part in the development of the system, starting from assimilation and analysis of the requirements, design and implementation, marketing of the product and customer relations. Finance as a subject has always fascinated me from the beginning, but it was association with this project that my fascination turned to interest. I became familiar with financial markets and instruments like equities, equity based derivatives, commodities and index derivatives.

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