Work & Experience

Technical Arsenal

Python
C++
Pandas
NumPy
TensorFlow
PyTorch
Scikit-learn
LLMs / HF
Grafana
q/kdb+
SQL
AWS
Docker
Git
Linux
Tableau

Professional Journey

Quantitative Researcher (Global Cash Equities Execution)

HSBC Global Markets

Sep 2022 – Present

Focusing on owning and enhancing execution algorithms for global clients across more than 100 global venues.

  • Implemented advanced machine learning techniques to optimize global execution trading algorithms (VWAP, POV, Liquidity Seeking), enhancing trading efficiency for $1 billion in daily trading volume.
  • Conducted innovative research on order book resiliency using large limit order book events data, employing Python and q/kdb+ to improve trading system slippage by 50%.
  • Developed the first spread capture algorithm, overcoming challenges to balance passive and aggressive trading strategies, resulting in performance exceeding benchmarks by more than half of the bid-ask spread on average.
  • Improved smart order routing (SOR) analytics to identify pitfalls and improve order routing mechanism of platform across US and Europe trading venues.
  • Streamlined technology and development processes, eliminating redundancies and enhancing efficiency, while consistently improving trading systems through comprehensive TCA reports.
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Quant Trader (HFT Options Market Making)

iRage Capital

Feb 2021 – Oct 2021

High-frequency options market making in Indian Capital Markets.

  • Monitored real-time market data and executed trades on an HFT options market-making platform, managing over 500 option instruments with deployed capital exceeding USD 500,000.
  • Led the exploration of the Brazilian options market, mentoring a junior trader and developing a competitive Transaction Cost Analysis (TCA) framework.
  • Redesigned the order routing mechanism for the Brazilian market, transforming trading operations from a loss-making position to generating small but consistent daily profits.
  • Conducted regular analysis of tick-by-tick data using Python to study volatility surface dynamics, enhancing trading system performance.
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Quantitative Analyst (Fixed Income Trading)

HSBC Global Markets

Jan 2019 – Jan 2021

Focus on risk management and trading solutions for Fixed Income.

  • Supported a global team of over 20 traders and salespeople as the sole quantitative analyst, leading a team with one graduate quant for fixed income trading strategies.
  • Researched and backtested price action-based mid-frequency trading strategies on short-term interest rate futures.
  • Boosted trading desk efficiency by automating leverage calculations, reducing processing time from 5 minutes per trade to seconds, using Python and Tableau.
  • Developed innovative trading tools and analytics that enhanced decision-making capabilities and strategic planning for the trading team.
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Algorithm/Quant Developer (Cash Equities Electronic Trading)

Edelweiss Financial Services

Feb 2017 – Nov 2018

Developing high/mid-frequency execution strategies for Indian Cash Equities.

  • Collaborated with traders and tech teams to develop execution strategies, leading to the creation and enhancement of VWAP, POV, IS, and Rollover algorithms processing $100M in daily notional value.
  • Developed and implemented a post-trade Transaction Cost Analysis (TCA) system, enabling the identification and rectification of algorithmic performance issues.
  • Leveraged principal component analysis to enhance VWAP algorithm performance by 5 basis points, significantly boosting trading efficiency.
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Education & Certifications

Bachelor of Technology

Indian Institute of Technology, Kanpur

2010 – 2014

Major in Mechanical Engineering.

Professional Certifications

Finance & AI

Ongoing
  • CQF (Certificate in Quantitative Finance)
  • Machine Learning & Neural Networks (Harvard Faculty)
  • NISM Series VII & VIII (Securities & Derivatives)

Open Source

Check out my latest code and contributions on GitHub.

Visit GitHub Profile