QuantConnect Algo Development & Backtesting

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)