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Yasir Khan

Yasir Khan

Crypto trader

Accounting / Finance

Dubai, دبي

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About Yasir Khan:

Seasoned Trader with 8+ years of experience in high-frequency and algorithmic trading. Expertise in developing AI-driven trading strategies and leveraging blockchain technology for decentralized finance. Consistently outperformed market benchmarks, achieving a 30% average annual return over the past 5 years. Skilled in leading cross-functional teams to optimize trading operations and capitalize on emerging market opportunities

Experience

Trader | binance

May 2022 - Present

Spearheaded algorithmic trading strategies across emerging market equities, generating $18.2M in alpha returns while reducing execution costs by 27% through custom-built Python and TensorFlow models Pioneered the firm's ESG-focused trading desk, capturing $340M in new institutional mandates within the first quarter by synthesizing alternative data signals with traditional market indicators Mentored a team of 5 junior traders through volatile market conditions, implementing a systematic risk framework that maintained portfolio Sharpe ratios above 1.8 despite 40% increase in market volatility

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Quantitative Analyst | binance

March 2020 - March 2022

Executed $2.5B in annual trading volume across fixed income derivatives, consistently beating VWAP benchmarks by 12 basis points through strategic block positioning and dark pool utilization Designed and deployed a real-time analytics dashboard integrating machine learning anomaly detection, enabling the desk to capitalize on $4.2M in arbitrage opportunities during market dislocations Collaborated with quant research to optimize execution algorithms for large-cap equity baskets, reducing slippage by 18% and enhancing P&L by $1.7M annually

 

Junior Trader | binance

January 2018 - February 2020

Analyzed market microstructure patterns across ETF products, identifying inefficiencies that generated $780K in additional trading profits over six months Built automated trade reconciliation tools using SQL and VBA that slashed end-of-day processing time from 90 to 15 minutes, earning recognition from operations leadership Supported senior traders during quarterly rebalance events, handling $50M+ in client order flow while maintaining tight spreads and minimizing market impact

Education

10th govt high school swabi 

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