Senior Algo Trading Developer/ Programmer or Quantitative Developer with Python

Job Title :- Python Programmer – Stock Market / Trading Systems | Python Developer – Stock Market | Algo Trading Developer | Quantitative Developer (Python) | Trading System Engineer Location :- Remote Job Type :- Full Time Experience : 8+ years Required Note: WORKING HOURS: 5.30 PM to 2.30 AM IST Job Summary: • We are seeking a highly motivated Python Programmer to join our trading technology team. • The ideal candidate will be responsible for developing, maintaining, and optimizing software tools for the stock market, including data analysis, algorithmic trading, backtesting, and automation. • You will work closely with traders, analysts, and data scientists to bring trading ideas into execution-ready programs. Key Responsibilities: • Develop and maintain Python-based trading applications for equities, futures, and options. • Build and improve algorithmic trading strategies and backtesting frameworks. • Integrate and automate trading via broker APIs (e.g., E- Trade, Webull, Interactive Brokers). • Process and analyze real-time and historical market data. • Implement risk management, position sizing, and order execution modules. • Write clean, modular, and well-documented code. • Monitor system performance, identify issues, and optimize trading infrastructure. • Collaborate with cross-functional teams to refine and deploy strategies. Required Technical Skills: • Strong programming skills in Python with experience using: • Pandas, NumPy, Matplotlib, TA-Lib, Requests • Hands-on experience with stock market / trading APIs. • Solid understanding of technical indicators (RSI, MACD, Bollinger Bands, EMA, etc.). • Experience with data handling, cleaning, and analysis. • Knowledge of backtesting frameworks (Backtrader, Zipline, or custom-built systems). • Familiarity with SQL / NoSQL databases. • Experience in building automated trading or data analytics pipelines. Preferred / Good-to-Have Skills: • Exposure to AI/ML models for predictive trading. • Experience with cloud deployment (AWS, GCP, or Azure). • Understanding of options and derivatives. • Knowledge of Docker, Linux environments, or Git for version control. • Awareness of market microstructure and order execution logic. Educational Qualification: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Finance, or related field. Job Type: Full-time Expected hours: 40 per week Work Location: Remote Apply tot his job