Oct 2024 – Apr 2025 · 6 mos · Mumbai, Maharashtra, India · Remote

Oct 2023 – Oct 2024 · 1 yr · Mumbai, Maharashtra, India

• Quantitative trader with deep experience in systematic trading across MFT and HFT strategies. Successfully managed proprietary books totaling ₹40 crore, including a ₹25 crore portfolio focused on high-probability trades with tight risk parameters and a ₹15 crore book delivering a Sharpe ratio of 3+. Strategies built using machine learning, statistical inference, and market microstructure signals to exploit short-term inefficiencies across equities, futures, and options. Strong emphasis on alpha generation through predictive modeling, execution efficiency, and dynamic risk-adjusted sizing. End-to-end ownership of strategy lifecycle—research, backtesting, deployment, and real-time optimization—using a high-performance, low-latency trading stack. Proven track record of delivering consistent, risk-controlled returns in live markets.

Aug 2023 – Oct 2023 · 2 mos · Mumbai, Maharashtra, India

• Creating Quant strategies and deploying a large scale

Feb 2022 – Aug 2023 · 1 yr 6 mos

• Quantitative trader with end-to-end experience managing a proprietary ₹15 crore book, delivering a Sharpe ratio of 3+ through systematic, data-driven strategies. Specialized in both MFT and HFT strategies across equities and derivatives, combining machine learning models with advanced statistical techniques to identify short-term market inefficiencies. Designed and executed scalable algorithms with strict latency, slippage, and risk constraints. Built robust backtesting environments, implemented real-time monitoring systems, and continuously improved models based on live performance data. Expertise in alpha discovery, portfolio optimization, and execution logic rooted in market microstructure insights and predictive analytics.

Jun 2020 – Oct 2021 · 1 yr 4 mos · Mumbai, Maharashtra, India

• Experienced in daily and monthly valuation and P&L processes for a wide range of financial products, including derivatives and structured instruments. Skilled in producing accurate and timely valuations, reconciling P&L with front office expectations, and investigating pricing and market data discrepancies. Familiar with valuation adjustments (XVA, CVA, FVA), reserves, and independent price verification (IPV) frameworks. Comfortable working across teams including Risk, Finance, and Trading to ensure integrity of valuations and transparency of reported P&L. Strong technical understanding of pricing models, market data inputs, and fair value principles under IFRS and US GAAP.

Feb 2018 – May 2018 · 3 mos · Churchgate