Vipul Tanwar, CQF — Product Engineer
My journey in quantitative finance is an exploration of the art and science of algorithmic trading. I dissect market data to unearth hidden alpha, crafting elegant and robust trading strategies. I'm particularly interested in market microstructure research and market neutral strategies based on order book dynamics using statistics, machine learning and modern AI tools such as neural networks and LLM. To bring these interests to life, my technical arsenal includes Python, C++, Q/Kdb and machine learning libraries like scikit-learn, tensorFlow, and PyTorch. I bring to this endeavour a blend of rigorous analytical skills honed at my alma mater IIT Kanpur and a deep seated desire to contribute to the quant community. Let's discuss algo trading!
Stackforce AI infers this person is a Fintech expert with a strong focus on algorithmic trading and quantitative research.
Location: Bengaluru, Karnataka, India
Experience: 9 yrs
Skills
- Quantitative Research
- Algorithmic Trading
- Cryptocurrency
- Statistical Arbitrage
- Machine Learning
- Quantitative Analysis
- C++
Career Highlights
- Expert in algorithmic trading and quantitative finance.
- Proficient in machine learning and statistical analysis.
- Experience in cryptocurrency trading strategies.
Work Experience
HSBC
Quantitative Researcher (3 yrs 6 mos)
Personal Project
Sabbatical: Cryptocurrency Strategy Research (9 mos)
iRageCapital Advisory Private Limited
Quant Trader - High Frequency Trading (8 mos)
HSBC Global Banking and Markets
Quantitative Analyst (2 yrs)
Edelweiss Financial Services
Algorithm Developer - Algorithmic Trading Group (Institutional Equities) (1 yr 10 mos)
Ola (ANI Technologies Pvt. Ltd)
Financial Analyst - Ola Share (6 mos)
Financial Analyst - East Zone (6 mos)
Bouygues Construction
Internship: Trainee Mechanical Engineer (2 mos)
Education
Bachelor of Technology (BTech) at Indian Institute of Technology, Kanpur