Quantitative Analyst with expertise in financial modeling, algorithmic trading, and risk management. Proficient
in Python, SQL, and financial libraries (NumPy, pandas, TensorFlow, Streamlit and more). Hands-on experience in developing and
deploying trading algorithms, Monte Carlo simulations, and deep learning models for financial time series. Strong
background in credit analysis, portfolio optimization, and derivatives pricing
๐ Nationality | ๐ฎ๐ณ India |
๐ก Residency | ๐ฎ๐ณ India |
๐ Location | ๐ฎ๐ณ India |
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rok.co/@nanwani07 |
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https://www.linkedin.com/in/hitesh-nanwani |
Skilled in | python sql excel |
Fluent in | englishhindimarathisindhi |
Preferred timezone | +530 |
Preferred annual pay (min) | $36,000/year |
Preferred hourly pay (min) | $36/hour |
Last seen | 5 months ago |
Signed up | 5 months ago |
Badges |
๐จโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2020 - Now: Wholesale credit analysr @ New Bombay Haat
- Now: Monte Carlo Simulations for VaR & Expected Shortfall
- Now: Deep Learning for Financial Time Series Forecastin
2013 - 2016: Bachelor's of Business Administration @ Amravati University
- 2024: Financial Engineering, CQF (certificate in Quantitative Finance) @ CQF
- 2027: MSc in Financial Engineering @ WorldQuant University
- 2024: Applied Data Science Lab @ WorldQuant University