Aditya Sihag — CEO
Stackforce AI infers this person is a seasoned professional in Fintech with a focus on quantitative trading and algorithmic strategies.
Location: Mumbai, Maharashtra, India
Experience: 14 yrs 6 mos
Career Highlights
- Expert in High Frequency Trading strategies.
- Proficient in multiple programming languages including Python and Java.
- Extensive experience in quantitative trading roles.
Work Experience
Surjective Research Capital llp
Partner (8 yrs 2 mos)
March of the Machine
Director (10 yrs 3 mos)
AlphaGrep Securities
Quantitative Trader (11 mos)
iRageCapital
Quantitative Trader (1 yr 5 mos)
Crosseas Capital
Algorithmic Trader; Proprietary Desk (1 yr)
Morgan Stanley
Associate; Institutional Equities Division (10 mos)
Education
BA at University of Cambridge
BA at Delhi University