Gaurav Chotrani

AI Researcher

New Delhi, Delhi, India2 yrs 10 mos experience

Key Highlights

Expert in developing systematic trading strategies.
Integrates machine learning with econometric modeling.
Emphasizes rigorous research for profitable trading.

Stackforce AI infers this person is a Fintech professional specializing in quantitative research and trading strategies.

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Skills

Core Skills

Quantitative FinanceStatistical Inference

Other Skills

Algorithmic TradingAlpha GenerationAnalytical SkillsAssessmentAttention to DetailAudio ConferencingAutomated TradingBacktestingC++CommunicationCritical ThinkingCryptoData AnalyticsData ManipulationData Research

About

I’m a Quantitative Research Analyst focused on developing systematic trading strategies across options, futures, and digital assets. My work integrates machine learning (CNNs, XGBoost) with statistical and econometric modeling techniques such as volatility clustering, regime adaptation, and Markov Chain analysis to extract consistent, risk-adjusted alpha. With a background in economics and mathematics, I specialize in time series analysis, risk modeling, and feature engineering to design scalable strategies that generalize across assets. I emphasize rigorous research — from backtesting and walk-forward validation to robustness checks and live performance tracking — to ensure models are both profitable and resilient. I’m driven by a data-driven approach to alpha discovery, combining quantitative rigor with creative hypothesis design, and I’m always exploring ways to bridge statistical research with live trading execution.

Experience

Cifdaq

Quantitative Researcher

Jul 2025 – Present · 8 mos · Mumbai, Maharashtra, India · On-site

Multyfi

Quantitative Research Analyst

Jun 2024 – Aug 2025 · 1 yr 2 mos · Gurugram, Haryana, India · On-site

Findoc

Quantitative Research Analyst

May 2023 – Jun 2024 · 1 yr 1 mo · Mysore, Karnataka, India

Finding an alpha across various investment opportunities and exploring the possibilities of successful execution in those segments .
Developing and implementing sophisticated strategies on various securities such as USDINR futures and options , BANKNIFTY options , NIFTY options , FINNIFTY options ,ADANI ENT futures and many more.
Leveraging custom indicators, market analysis techniques and statistical techniques using Easy-Language Programming (Trade station)
Conducting comprehensive backtesting of strategies to evaluate their performance and profitability and tweaking them to fit the risk profile of the portfolio.
Optimising the strategies for key financial factors like Profit factor , Calmar ratio, Return on account, Drawdown.
Forward testing the strategy on recent data to validate strategies' effectiveness over the course of time admist changing market dynamics and to eliminate the possibility of curve fitting to ensure profitable results in live markets.
Compiling individual strategies to create a portfolio with optimised metrics and do quantity allocation for appropriate diversification and mitigating risk to generate steady returns.
Maintained an in-depth report of all portfolios running to accurately determine the quality of performance and suggest suitable actions to further enhance returns and reduce risk.