AI Trading Engineer

UpworkAENot specifiedintermediateScore: 71
BlockchainEthereumPythonSolanaNode.jsAPI IntegrationAutomationSolidityweb3.jsSmart ContractSmart Contract DevelopmentDeFiRustJavaScriptBot Development
Quantitative Developer & Algorithmic Trader Private Trading Group – Proprietary Silver (XAGUSD) Strategies About Us We are a private trading group seeking a highly skilled Quantitative Developer and Algorithmic Trader to lead the development, optimization, and daily management of our proprietary trading bot. Our core mission is to leverage algorithmic execution, High-Frequency Trading (HFT) principles, and AI-driven market analysis to capture consistent, risk-adjusted yields in the commodities market — specifically focusing on precious metals (Silver/XAGUSD). We operate with institutional-grade, low-latency server architecture co-located near major financial data centers. Exact capital volume and platform specifics remain confidential until the interview phase. Key Responsibilities Strategy Development & Deployment: Develop, backtest, and deploy high-speed algorithmic trading strategies tailored to the volatility and spread dynamics of the Silver market. AI & Machine Learning Integration: Integrate predictive AI and machine learning models to improve entry/exit accuracy and dynamically adjust to shifting market conditions. Low-Latency Execution: Manage extreme low-latency execution to capitalize on micro-movements in price, employing HFT and statistical arbitrage strategies. Risk Management: Implement strict, automated risk-management protocols to protect principal capital and minimize drawdown. Performance Monitoring & Reporting: Monitor daily bot performance, server uptime, and algorithmic efficiency, providing weekly quantitative reports to stakeholders. Requirements Demonstrated expertise in quantitative finance, algorithmic trading, and HFT architecture. Proven experience developing automated systems for commodities or forex markets (live portfolio or verified track record required). Strong background integrating AI/Machine Learning models (e.g., Python, TensorFlow, PyTorch) with high-speed trading environments. Deep understanding of market microstructure, slippage mitigation, and spread impact on high-frequency strategies. Willingness to sign a strict Non-Disclosure Agreement (NDA) before discussing proprietary infrastructure and capital allocation. To Apply Please submit your proposal detailing your experience with HFT or AI-driven trading algorithms. Include anonymized case studies or verified performance data demonstrating your ability to manage strict drawdown limits while targeting consistent monthly yields.
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