Naman Rathi — Associate Consultant
I am a driven financial engineer with a strong foundation in quantitative finance, mathematics, and programming, currently pursuing my Master of Science in Financial Engineering at NYU Tandon School of Engineering. My focus lies in quantitative trading, and algorithmic strategies, combining financial theory with practical application. Throughout my academic and professional journey, I've gained hands-on experience through roles at firms like Goose Hollow Capital, William O’Neil, and J.P. Morgan, where I worked on trading strategies, and investment analysis. I am also excited to represent NYU at the 2025 Rotman International Trading Competition, further refining my trading skills in a competitive environment. I am eager to leverage my skills in Python, C++, and financial modeling to contribute to innovative solutions in trading and investment management. Let’s connect to discuss opportunities, share insights, and collaborate on cutting-edge financial strategies
Stackforce AI infers this person is a Fintech professional with expertise in quantitative trading and algorithmic strategies.
Location: New York City, New York, United States
Experience: 3 yrs 6 mos
Skills
- Finance
- Data Analysis
- Quantitative Finance
- Trading
- Banking
Career Highlights
- Strong foundation in quantitative finance and programming.
- Hands-on experience with trading strategies at top firms.
- Representing NYU at the 2025 Rotman International Trading Competition.
Work Experience
SMBC Capital Markets, Inc.
Trading Risk Analyst (11 mos)
Goose Hollow Capital Management LLC
Quantitative Analyst (2 mos)
New York University
Course Assistant (1 yr 4 mos)
William O'Neil India
Quantitative Analyst (11 mos)
JPMorgan Chase & Co.
Junior Analyst (4 mos)
Sirius Motorsports (India) Pvt. Ltd.
Summer Intern (1 mo)
Education
Master's degree at New York University
Minor Degree at BITS Pilani, Hyderabad Campus
Bachelor of Engineering - BE at BITS Pilani, Hyderabad Campus