Sanket Diwate — Associate Consultant
Quantitative Analyst in High Frequency Trading (HFT) with expertise in equity options market making. I build predictive models and optimize strategies using C++ and Python. Skilled in developing models that drive alpha, with a strong foundation in statistics, machine learning, and volatility modeling. I create robust, data-driven solutions that enhance algorithmic trading performance.
Stackforce AI infers this person is a Fintech Quantitative Analyst specializing in high-frequency trading and algorithmic strategies.
Location: Pune, Maharashtra, India
Experience: 2 yrs 5 mos
Skills
- High-frequency Trading
- Algorithmic Trading
- Quantitative Research
- Machine Learning
Career Highlights
- Expert in predictive modeling for algorithmic trading.
- Strong foundation in statistics and machine learning.
- Proven track record in high-frequency trading strategies.
Work Experience
Goldman Sachs
Analyst (6 mos)
Dolat Capital
Quantitative Analyst (1 yr 11 mos)
Education
BTech + MTech at Indian Institute of Technology Bhubaneswar (IIT Bhubaneswar)
High school at Jawahar Navodaya Vidyalaya - JNV
