Quantitative Execution Trader

Experienced in processing and transposing raw trade logs into actionable financial metrics. I have hands-on experience cleaning and structuring complex trading data to calculate daily PnL, slippage, execution latency, and fee structures, providing clear performance attribution for trading strategies

Highly proficient in advanced Excel functions for financial reconciliation and data processing. Experienced in prototyping complex trade analysis and PnL attribution models before transitioning them into automated Python/web dashboards.

3.5+ years of experience managing execution and inventory risk across global crypto and futures markets. My background includes monitoring real-time portfolio sensitivities (Greeks), maintaining Delta-Neutrality, adjusting trading parameters during high volatility, and mitigating operational risks for automated market-making bots.

3.5+ years of experience in quantitative execution and trading operations across centralized (CEX) and decentralized (DEX) crypto markets. Specialized in managing execution risk for Spot, Perpetuals, and Options portfolios, maintaining Delta-Neutrality, and overseeing automated market-making bots. Proficient in monitoring real-time liquidity, adjusting risk parameters during volatility spikes.

Experienced in designing and deploying interactive visual dashboards using Python (Streamlit) and modern web frameworks (Next.js/Vercel) to eliminate data latency. By leveraging AI-assisted coding pipelines, I rapidly prototype and deploy these tools to transform complex quantitative data—such as real-time Gamma impact and portfolio Greeks—into intuitive, low-latency charts for rapid risk assessments.

Experienced in leveraging advanced AI models (Claude, Gemini, ChatGPT) for workflow automation and rapid tool development. I have practical experience utilizing multi-model AI consensus pipelines to generate, audit, and deploy Python scripts, which has helped me accelerate the creation of internal risk dashboards and data processing tools.