Age 48 (DOB Aug, 1976)
Married, Father of 2.
07920800830
pakming20@gmail.com
Head of Quants in London | Quantitative Forex, Commodities & Crypto Trader | Algorithmic Trading Specialist | Expert in Multi-Frequency Trading, CFD, DeFi, NFTs & Systematic Trading
I am a quantitative trader with over 10 years of expertise spanning Forex, commodities, indices, CFDs, and cryptocurrency markets. Currently serving as Head of Quants at Quant Sigma Ltd. in London, I lead the strategic transition from Medium-Frequency Trading (MFT) to advanced High-Frequency Trading (HFT). My role involves implementing ultra-low-latency trading solutions, colocation strategies (notably at CME Aurora and Equinix LD4), integrating FIX and iLink APIs to optimize execution across Forex, crypto, and futures markets, and conducting weekly investment-grade quantitative performance reports. My HFT strategies primarily include market making, statistical arbitrage, latency arbitrage, momentum trading, scalping, and cross-exchange arbitrage.
At Quant Sigma, I have successfully managed proprietary MFT strategies, consistently achieving near 20% monthly ROI, translating to an annualized return exceeding 200%. These strategies include trend-following, mean-reversion, volatility breakout, and momentum trading. Performance is supported by meticulous backtesting, volatility-adjusted position sizing, and systematic parameter optimization, ensuring superior reward-to-risk outcomes and robust risk management.
Throughout my career, I have scaled initial trading capital by over 20x, achieving Sharpe ratios ranging from 1.5+ in Forex and CFD markets to between 2 and 6 in cryptocurrency markets, with maximum drawdowns (DD) consistently maintained below 5–10% for traditional markets and below 15% for cryptocurrencies.
An early adopter in the cryptocurrency space since investing in Bitcoin at $80 in 2013, I possess deep insights into crypto market dynamics, on-chain analytics, centralized exchanges (CEX), decentralized finance (DeFi), and derivative products. This has enabled me to effectively exploit opportunities in spot, perpetuals, and structured derivatives, tailored to the unique volatility and liquidity profiles of crypto assets.
My technical expertise includes MetaTrader MT5, Python, and advanced machine learning techniques. Currently pursuing my Master of Computer Science in AI and Data Science at a UK university, I actively integrate models such as XGBoost, Transformer models, and reinforcement learning algorithms into sentiment analysis, execution optimization, and predictive analytics. Additionally, I leverage comprehensive market data platforms like TradingView, Glassnode, Tick Data Suite, and Benzinga Pro to continuously refine my systematic and high-frequency trading strategies, maintaining a competitive advantage and consistent profitability.
Dec 2023 - Current
Head of Quants
Lead quantitative research and strategic development focused on transitioning from Medium-Frequency Trading (MFT) to advanced High-Frequency Trading (HFT) across Forex, CFDs, cryptocurrencies, and futures markets. Oversee algorithmic trading lifecycle from concept development and rigorous backtesting to live execution, performance analysis, and comprehensive risk management. Mentor quantitative analysts and developers, driving innovation and continuous enhancement of trading models to optimize ROI and operational efficiency. Consistently achieving near 20% monthly ROI, translating to an annualized return exceeding 200%.
Jan 2015 – Nov 2024
Quant and Algorithmic Trader
Apr 2013 – Dec 2014
Senior Product Manager
Mar 2008 – Apr 2013
Senior Operations Manager
Oversaw all strategic and operational aspects within the telecommunications software sector, focusing on system integration and customized software solutions.
Extensive experience with MT4/5 for both Forex and crypto trading, utilizing Expert Advisors (EA) for automated strategies, backtesting, and efficient trade execution. Skilled in TradingView for advanced charting, custom scripting, and strategy refinement.
Proficient in Trading Technologies for sophisticated trade execution, Tick Data Suite for precision backtesting, and Benzinga Pro/Finviz Elite for real-time market insights and equity screening. Experienced with Seeking Alpha Pro for deep fundamental analysis and 3Commas for automated crypto trading. Familiar with Zapier to automate workflows and CoinAPI/Polygon.io for comprehensive market data integration.
Skilled in Python for designing and optimizing algorithmic trading models. Hands-on experience integrating APIs from major exchanges (Kraken, Binance, Interactive Brokers), focusing on streamlined automated workflows and high-efficiency execution.
Leverage TradingView for real-time charting and multi-indicator analysis across crypto, Forex, and equities. Conduct in-depth market research to build and validate profitable trading strategies.
In-depth knowledge of blockchain, cryptocurrency, DeFi platforms, and NFT trading. Skilled in managing decentralized trades using Web3 technologies and integrating smart contracts via Remix-Solidity IDE.
Applied advanced risk management methodologies and AI-powered insights to optimize multi-asset portfolios. Capable of mitigating market risk in crypto and Forex through disciplined hedging, drawdown control, and data-driven position sizing.
Proficient in AWS, Azure, and Google Cloud for building secure, scalable environments supporting mid-frequency trading, data processing, and continuous integration/deployment.
Knowledgeable in using AI-driven tools (e.g., ChatGPT Pro, Mistral, DeepSeek, Claude, Qwen, Gemini, Perplexity, China's SenseTime, Hugging Face, etc.) to develop predictive models and enhance algorithmic decision-making. Skilled in scikit-learn for time-series forecasting and classification tasks.
Experienced in HTML, CSS, JavaScript, Python, TypeScript, Git, and GitHub for application development. Proficient in Visual Studio Code, Trello, Slack, Zoom, and Microsoft Office Suite for collaboration, project management, and IP telephony.
Proficient in Google Analytics, WordPress, and CRM platforms such as Salesforce, HubSpot, and Zoho CRM for data-driven insights, performance tracking, and strategic business planning.