Somay Chopra — Lead IOS Developer
I am a seasoned Quantitative Strategist with a strong foundation in financial modeling, algorithmic optimization, and data-driven decision-making. Previously, I contributed to the Equities Prime Services Strats team at Goldman Sachs, where I designed and implemented inventory optimization strategies. With expertise in statistical modeling, risk analytics, and optimization algorithms, I thrive at the intersection of finance and technology, leveraging cutting-edge methods to drive innovation. My future aspirations include advancing within the quantitative finance industry, with a keen interest in roles such as Quant Trading, Hedge Fund Quant, Portfolio Strategist, or leading initiatives in Data Science for Finance.
Stackforce AI infers this person is a Quantitative Finance professional with a strong analytical and technical background.
Location: Berkeley, California, United States
Experience: 3 yrs 7 mos
Skills
- Quantitative Finance
Career Highlights
- Expertise in financial modeling and algorithmic optimization.
- Designed inventory optimization strategies at Goldman Sachs.
- Aspiring leader in quantitative finance and data science.
Work Experience
Societe Generale Corporate and Investment Banking - SGCIB
Delta One Trading Intern (5 mos)
2 yrs 8 mos
Summer Analyst (1 mo)
Goldman Sachs
Team AUV
Software team member (3 yrs 2 mos)
Education
Master's degree at University of California, Berkeley, Haas School of Business
Bachelor of Technology - BTech at Indian Institute of Technology, Kharagpur
