Develop and implement quantitative models for trading and risk management, focusing on the Indian market.

Conduct statistical analysis and data mining to identify profitable trading opportunities in Indian stock markets.

Build and maintain automated trading systems, ensuring low-latency execution and high reliability for Indian exchanges.

Perform backtesting and validation of quantitative strategies using historical Indian market data.

Monitor and manage risk exposures, ensuring compliance with regulatory requirements specific to the Indian financial market.

Collaborate with traders and portfolio managers to implement and refine quantitative trading strategies for Indian equities.

Research and evaluate new data sources and analytical techniques to improve model performance in the Indian context.

Prepare reports and presentations summarizing model performance and risk metrics for stakeholders in India.

Creating quantitative models for trading, risk management, or investment strategies.

Analyzing large datasets to identify patterns, correlations, and predictive signals.

Designing and implementing algorithms for automated trading systems.

Evaluating and managing financial risks using quantitative techniques.

Applying statistical methods to analyze financial data and market trends.

Writing code (e.g., Python, R, C++) to implement models and algorithms.

Monitoring the performance of trading strategies and models in real-time.

Testing models and strategies on historical data to evaluate their effectiveness.

Creating reports and presentations to communicate findings to stakeholders.

Validating and calibrating quantitative models to ensure accuracy and reliability.

Conducting research on financial markets, instruments, and quantitative techniques.

Collaborating with traders, portfolio managers, and other professionals.