Experienced Quant Developer Needed — Build Hybrid AI Trading System
I am looking for an experienced Quantitative Trading System Developer to build a Hybrid Quant AI Trading Robot that combines:Real-time tick dataOrder-book depth (Level 2)Order-flow analyticsMachine Learning models (LightGBM + LSTM)Smart risk controlAutomated trade execution (MT5 / FIX / cTrader)The goal is a data-driven, ultra-low-latency trading system that generates 85–90% accurate real-time BUY/SELL signals and supports manual, semi-automatic, and fully automatic trading modes. This is a full system build — backend, AI engine, execution engine, dashboard, security, and deployment.Required ExpertiseTo apply, you must have proven experience with:Quant & Trading SystemsTick data ingestionOrder-book (L2) processingOrder-flow features (delta, imbalance, absorption, liquidity sweeps)FX / Gold / Crypto microstructureAI/MLLightGBMLSTM / time-series forecastingFeature engineering for financial marketsDrift detection & auto-retrainingExecution APIsMT5 APIFIX APIcTrader APIBracket orders (SL/TP)Latency optimizationBackend & DevOpsPythonWebsockets (real-time dashboard updates)PostgreSQLVPS deployment (Linux)JWT authentication, RBAC, KMSHigh-security backend architecture Apply tot his job