Job Description
We're looking for a passionate Quant Developer to join our dynamic, innovation-driven team. If you love numbers, algorithms, and building trading strategies that blend AI with quantitative research, this is your chance to work on live trading systems with cutting-edge tools. Responsibilities: • Develop and backtest algorithmic trading strategies using historical market data. • Conduct quantitative research and build predictive models. • Automate data pipelines for efficient strategy development. • Optimize risk and performance metrics for robust execution. • Collaborate with AI teams to integrate ML models into trading systems. Requirements: • Strong foundation in mathematics, statistics, and probability. • Proficiency in Python (NumPy, Pandas, Matplotlib, SciPy); Pine Script is a plus. • Knowledge of trading systems and market microstructure. • Experience with backtesting frameworks (Backtrader, Zipline, QuantConnect). • Analytical mindset with strong problem-solving skills. • Experience with broker APIs (e. g., Zerodha, Interactive Brokers). • SQL/NoSQL or cloud-based data platform experience. • Exposure to ML models in financial forecasting. Apply tot his job