Job Description
Job Title: Algorithmic Trading Engineer | Real-Time Market Data Automation & Trading Signals Job Description We are looking for an experienced Algorithmic Trading / Quant Engineer who has hands-on expertise in building real-time stock market automation systems. The role involves consuming live market data feeds, applying rule-based and/or ML-driven strategies, and generating Buy / Sell / Hold signals in real time. This is not an academic or research-only role. We are looking for someone who has built production-ready trading systems that handle live market data, latency, failures, and broker constraints. Key Responsibilities • Integrate live market data feeds using WebSockets or streaming APIs • Design and implement real-time Buy / Sell / Hold decision engines • Build automated or semi-automated trading workflows • Implement order placement, modification, and tracking logic • Develop backtesting and paper-trading frameworks • Ensure low-latency, fault-tolerant, scalable architecture • Implement risk management controls (stop-loss, trailing SL, drawdown limits) Mandatory Skills & Experience • Real-time market data streaming experience • Hands-on experience with trading APIs (Zerodha, Upstox, Interactive Brokers, Alpaca) • Strong Python skills (Pandas, NumPy, TA-Lib, scikit-learn) • Async programming, WebSockets, event-driven architecture • Technical indicators: RSI, MACD, EMA, VWAP, Bollinger Bands Machine Learning (If Applicable) • Time-series models: LSTM, GRU, XGBoost, ARIMA • Feature engineering for financial data • Live model monitoring and concept drift handling Risk Management • Stop-loss and trailing stop logic • Position sizing and capital allocation • Handling partial fills, order rejections, market halts Nice-to-Have • Experience with Indian stock markets (NSE/BSE) • Fully automated algo-trading bot experience Engagement Type Project-based with potential long-term engagement, milestone-driven delivery. Apply tot his job