B.S in mathematics and scientific computing, IIT Kanpur (Graduate 2020)
GPA - 9.03/10, 10/10 in 15 out of 18 mathematics courses, awarded academic excellence award in mathematics
GRE - 330 (160V, 170Q)
TOEFL - yet to give
Courses -
1. Linear Algebra - 10/10
2. Set Theory and Logic - 10/10
3. Probability and Statistics - 10/10
4. Abstract Algebra - 10/10
5. Real Analysis - 10/10
6. Complex Analysis - 10/10
7. Macroeconomics - 8/10
8. Microeconomics - 8/10
9. Several variable calculus and differential geometry - 10/10
10. Theory of computation - 10/10
11. Numerical Analysis 1 - 10/10
12. Numerical Analysis 2 - 10/10
13. Ordinary Differential Equations - 10/10
14. Partial differential Equations - 10/10
15. Computational financial mathematics - 6/10 (Because of very little attendance. Ironic that this is what I want to study)
16. Machine Learning - 10/10
Work Experience -
Working at a leading investment bank for the past 3 years in the Equities team. My work mainly involves quantamental portfolio construction, risk modelling of equity portfolios, generating insights from data to enable PMs to make better investment decisions and building tools to visualize risk of portfolios for the PMs
Research Experience/Publications - None (This is the biggest weakness imo)
Projects -
Undergraduate - An FIR management system. Not much to boast
Work - 1. Developed an optimization algorithm that successfully solved a complex linear optimization problem. Notably, this algorithm is currently in use, receiving over 45,000 hits per year.
2. Another project focused on modeling the consistency of stock selection across three quanta-mental portfolios (Joint Assets of $1.5B) through multi-portfolio optimization. This required me to approximate a non-linear constraint that was not supported by the optimizer, using linear constraints and introducing dummy variables to solve the use case
Programs I am thinking to apply in order of preference (based on How rigorous the program is > Alumni Network > Placements Stats)-
1. Princeton - Master in Finance
2. Baruch - Financial Engineering
3. UCB - Financial Engineering
4. CMU - Computational Finance
5. NYU Courant - Mathematics in Finance
6. University of Chicago - Financial Mathematics
7. Columbia University - Mathematics of Finance
8. Columbia University - Financial Engineering
Questions -
1. Apart from these should I apply to any other programs as well?
2. Should the order of preference be switched?
3. What seem to be the changes to get selected in 1, 2 or 3?
4. How big of a problem is the fact that I have no research experience or publications? Does relevant work experience in finance compensate for it?
5. What are my chances of getting scholarships at the above colleges?
Thanks in advance.
GPA - 9.03/10, 10/10 in 15 out of 18 mathematics courses, awarded academic excellence award in mathematics
GRE - 330 (160V, 170Q)
TOEFL - yet to give
Courses -
1. Linear Algebra - 10/10
2. Set Theory and Logic - 10/10
3. Probability and Statistics - 10/10
4. Abstract Algebra - 10/10
5. Real Analysis - 10/10
6. Complex Analysis - 10/10
7. Macroeconomics - 8/10
8. Microeconomics - 8/10
9. Several variable calculus and differential geometry - 10/10
10. Theory of computation - 10/10
11. Numerical Analysis 1 - 10/10
12. Numerical Analysis 2 - 10/10
13. Ordinary Differential Equations - 10/10
14. Partial differential Equations - 10/10
15. Computational financial mathematics - 6/10 (Because of very little attendance. Ironic that this is what I want to study)
16. Machine Learning - 10/10
Work Experience -
Working at a leading investment bank for the past 3 years in the Equities team. My work mainly involves quantamental portfolio construction, risk modelling of equity portfolios, generating insights from data to enable PMs to make better investment decisions and building tools to visualize risk of portfolios for the PMs
Research Experience/Publications - None (This is the biggest weakness imo)
Projects -
Undergraduate - An FIR management system. Not much to boast
Work - 1. Developed an optimization algorithm that successfully solved a complex linear optimization problem. Notably, this algorithm is currently in use, receiving over 45,000 hits per year.
2. Another project focused on modeling the consistency of stock selection across three quanta-mental portfolios (Joint Assets of $1.5B) through multi-portfolio optimization. This required me to approximate a non-linear constraint that was not supported by the optimizer, using linear constraints and introducing dummy variables to solve the use case
Programs I am thinking to apply in order of preference (based on How rigorous the program is > Alumni Network > Placements Stats)-
1. Princeton - Master in Finance
2. Baruch - Financial Engineering
3. UCB - Financial Engineering
4. CMU - Computational Finance
5. NYU Courant - Mathematics in Finance
6. University of Chicago - Financial Mathematics
7. Columbia University - Mathematics of Finance
8. Columbia University - Financial Engineering
Questions -
1. Apart from these should I apply to any other programs as well?
2. Should the order of preference be switched?
3. What seem to be the changes to get selected in 1, 2 or 3?
4. How big of a problem is the fact that I have no research experience or publications? Does relevant work experience in finance compensate for it?
5. What are my chances of getting scholarships at the above colleges?
Thanks in advance.
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