Quantitative Backtester

Job Description :

Responsibilities :

- Develop, backtest, and optimize quantitative trading strategies across various asset classes.

- Design and build robust automated trading bots capable of executing strategies efficiently.

- Implement and maintain real-time trading connections with Interactive Brokers (IBKR) for reliable order execution.

- Rigorously analyze and evaluate strategy performance using key quantitative metrics such as Sharpe Ratio, Sortino Ratio, Maximum Drawdown, and others.

- Apply AI/ML techniques to identify high-confidence trade signals and enhance strategy effectiveness.

- Train and implement Large Language Models (LLM) to generate alerts for initiating and exiting trades during both backtesting and live trading scenarios.

- Continuously research and integrate new data sources and analytical methods to improve strategy performance.

Required Skills :

- 5+ years of experience in trading platforms and backend testing.

- Proficiency in Python, especially with quantitative libraries such as TA-Lib, NumPy, and Pandas.

- Strong understanding of stocks and options markets and trading mechanics.

- Demonstrable experience in applying AI/ML to quantitative trading for trade signal generation.

- Hands-on experience with training LLMs for trading alerts and decision support.

- Excellent analytical and problem-solving skills, with a keen eye for detail.