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 Now
Apply Now