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About the role
You are a skilled Python & C++ Developer experienced in algorithmic trading systems and stock broker APIs. Your main responsibilities will include: - Developing, testing, and deploying automated trading strategies using Python and C++ - Integrating trading systems with stock broker APIs for order execution and market data - Building robust and scalable algo trading infrastructure - Optimizing trading algorithms for speed, reliability, and low latency - Implementing risk management and trade monitoring systems - Developing backtesting frameworks and performance analytics tools - Handling real-time market data processing and signal generation - Debugging and maintaining live trading systems - Collaborating with traders/strategy developers to automate trading ideas - Ensuring proper logging, error handling, and system stability - Monitoring live trades and troubleshooting API or execution issues Required Skills: - Strong programming skills in Python and C++ - Experience with stock broker APIs such as: - Zerodha Kite Connect API - MOFSL Trading API - IIFL API - Any other trading APIs - Knowledge of algorithmic trading and financial markets - Experience with real-time systems and low-latency applications - Knowledge of SQL/NoSQL databases is a plus - Understanding of options, futures, and intraday trading systems preferred Preferred Experience: - 2+ years of experience in algo trading or trading system development - Experience in strategy automation for equities, futures, or options - Hands-on experience in live trading deployments - Familiarity with backtesting libraries/frameworks - Experience with Linux servers/cloud deployment is an advantage In addition to technical skills, the company values candidates with a problem-solving mindset, strong debugging and analytical skills, ability to work independently, passion for financial markets and trading technology, and the ability to quickly implement and optimize trading ideas. You are a skilled Python & C++ Developer experienced in algorithmic trading systems and stock broker APIs. Your main responsibilities will include: - Developing, testing, and deploying automated trading strategies using Python and C++ - Integrating trading systems with stock broker APIs for order execution and market data - Building robust and scalable algo trading infrastructure - Optimizing trading algorithms for speed, reliability, and low latency - Implementing risk management and trade monitoring systems - Developing backtesting frameworks and performance analytics tools - Handling real-time market data processing and signal generation - Debugging and maintaining live trading systems - Collaborating with traders/strategy developers to automate trading ideas - Ensuring proper logging, error handling, and system stability - Monitoring live trades and troubleshooting API or execution issues Required Skills: - Strong programming skills in Python and C++ - Experience with stock broker APIs such as: - Zerodha Kite Connect API - MOFSL Trading API - IIFL API - Any other trading APIs - Knowledge of algorithmic trading and financial markets - Experience with real-time systems and low-latency applications - Knowledge of SQL/NoSQL databases is a plus - Understanding of options, futures, and intraday trading systems preferred Preferred Experience: - 2+ years of experience in algo trading or trading system development - Experience in strategy automation for equities, futures, or options - Hands-on experience in live trading deployments - Familiarity with backtesting libraries/frameworks - Experience with Linux servers/cloud deployment is an advantage In addition to technical skills, the company values candidates with a problem-solving mindset, strong debugging and analytical skills, ability to work independently, passion for financial markets and trading technology, and the ability to quickly implement and optimize trading ideas.