Sarthak Garg — AI Researcher
I am currently pursuing a Masters in Financial Engineering degree at UC Berkeley. I'm passionate about using data to drive decision-making and solve complex problems, particularly in finance. With a keen interest in quantitative research, I'm always looking to expand my skill set and develop a deeper understanding of investing and trading. During my tenure as a Quant Strat at Goldman Sachs, I gained extensive experience building systematic trading strategies, price prediction models for derivatives, low latency infrastructure, and risk management. I am committed to expanding my skill set, embracing new challenges, and facilitating personal and professional growth. Actively seeking Quantitative Research and Trading opportunities, I welcome discussions and connections with professionals in these fields. Please feel free to contact me at sarthak_garg@berkeley.edu to explore potential collaborations or opportunities further.
Stackforce AI infers this person is a Fintech Quantitative Researcher with expertise in trading strategies and data analytics.
Location: Berkeley, California, United States
Experience: 4 yrs 5 mos
Skills
- Deep Learning
- Data Structures
Career Highlights
- Expert in building systematic trading strategies.
- Strong background in quantitative research and data analytics.
- Passionate about leveraging data for financial decision-making.
Work Experience
Millennium
Quantitative Researcher (10 mos)
GTS
Quantitative Trader (3 mos)
PIMCO
Student Researcher (4 mos)
Goldman Sachs
Associate (2 mos)
Analyst (2 yrs 8 mos)
Torch Investment Group
Quantitative Researcher (3 mos)
Goldman Sachs
Summer Analyst (1 mo)
National Tsing Hua University
Summer Research Intern (2 mos)
Reliance Jio Infocom Limited
Summer Intern (1 mo)
Education
Master's degree at University of California, Berkeley
Bachelor of Technology - BTech at Indian Institute of Technology, Delhi
Exchange Semester at INSA Lyon - Institut National des Sciences Appliquées de Lyon