QuantConnect / LEAN Python Algo Trading Developer (IBKR) We are looking for an experienced algorithmic trading developer to build and optimize trading strategies for US stocks and ETFs using QuantConnect (LEAN) and Interactive Brokers (IBKR API). This is a hands-on development role focused on implementing and deploying systematic trading strategies. Scope of work Develop algorithmic trading strategies in Python (QuantConnect / LEAN) Backtesting and performance optimization Integrate strategies with Interactive Brokers (IBKR) Implement risk management and position sizing logic Work with historical and live market data Deploy and maintain strategies in live trading environment Analyze performance (PnL, Sharpe, drawdown) Requirements Proven experience in algorithmic trading / quant development Strong Python programming Experience with QuantConnect or LEAN Engine Experience with IBKR API integration Understanding of US equities / ETFs markets Experience with backtesting frameworks Knowledge of trading risk management Nice to have Intraday or HFT strategies pandas / numpy / scipy Walk-forward optimization Experience in prop trading / hedge fund C# (LEAN) Project details Market: US stocks & ETFs Broker: Interactive Brokers Platform: QuantConnect / LEAN Strategy type: systematic / algorithmic Engagement: long-term collaboration possible To apply Please include: Relevant algo trading projects QuantConnect / LEAN experience IBKR integration experience Strategy types you implemented GitHub or code samples (if available)