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 data Order-book depth (Level 2) Order-flow analytics Machine Learning models (LightGBM + LSTM) Smart risk control Automated 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 Expertise To apply, you must have proven experience with: Quant & Trading Systems Tick data ingestion Order-book (L2) processing Order-flow features (delta, imbalance, absorption, liquidity sweeps) FX / Gold / Crypto microstructure AI/ML LightGBM LSTM / time-series forecasting Feature engineering for financial markets Drift detection & auto-retraining Execution APIs MT5 API FIX API cTrader API Bracket orders (SL/TP) Latency optimization Backend & DevOps Python Websockets (real-time dashboard updates) PostgreSQL VPS deployment (Linux) JWT authentication, RBAC, KMS High-security backend architecture Apply tot his job