Abhishek Jyoti — Co-Founder
An Experienced Quant Prop Trader running equity quantitative algorithmic desk with a focus on statistical arbitrage, mean revering Strategies on the low-latency system. Having a strong background in Quant Finance, Portfolio Management & Optimization,Risk Management, Python, R, C++, Statistical Analytics, Time Series Analysis and Econometrics. Working Towards Completing CFA And FRM for gaining a deep knowledge about financial market and risk management.
Stackforce AI infers this person is a Fintech expert specializing in quantitative trading and risk management.
Location: Delhi, India
Experience: 7 yrs 9 mos
Skills
- Quantitative Finance
- Statistical Arbitrage
- Risk Management
- Portfolio Management
- Quantitative Trading
Career Highlights
- Expert in quantitative trading and statistical arbitrage.
- Co-founder of two quantitative trading firms.
- Strong background in risk management and portfolio optimization.
Work Experience
PaperTown Insights
Co-Founder (2 yrs 7 mos)
BlackBox Securities
Quantitative Trader (2 mos)
Multify Capital
Quantitative Trader (1 mo)
Christ University, Delhi NCR
Guest Lecturer (3 yrs 1 mo)
Alphachain Capital
Financial Trader (3 yrs 9 mos)
AudaCity Capital Management
Financial Trader (4 yrs 4 mos)
PaperTown Capital
Co-Founder (4 yrs 6 mos)
Self-employed
Proprietary Quant Trader (3 yrs 4 mos)
Education
Master of Science - MS at WorldQuant University
MSC at Guru Nanak Dev University, Amritsar
Bachelor's degree at Guru Nanak Dev University, Amritsar
msc at Guru Nanak Dev University, Amritsar