MD ANISH — Business Development Executive
- Quantitative Trader with experienced in Equity Data Modelling, Alpha/Indicator Analysis, C++ Low Latency Execution. - Focused on building robust market making and market taking strategies for dynamic financial markets using statistical modelling. - Completed Finlatics Fellowship Programme to understand Portfolio Management and Equity research.
Stackforce AI infers this person is a Quantitative Trader specializing in algorithmic and high-frequency trading.
Location: Mumbai, Maharashtra, India
Experience: 5 yrs 1 mo
Skills
- Algorithmic Trading
- High-frequency Trading
Career Highlights
- Expert in quantitative trading and market strategies.
- Strong background in statistical modelling for finance.
- Completed Finlatics Fellowship in Portfolio Management.
Work Experience
Dolat Capital
Quantitative Trader - HFT (2 yrs 8 mos)
Aris Infra
Strategy Intern (2 mos)
Hostel 9, IIT Bombay
Mess Councillor (1 yr)
Mess Secretary (8 mos)
Hyperloop IITB
Technical team member (2 yrs 1 mo)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Bombay
