Quantitative Researcher - Python / R

Job Description :

Key Responsibilities :

• Research, design, and implement systematic trading strategies across multiple asset classes (equities, derivatives, fixed income, etc.
• Conduct in-depth statistical and econometric analysis on financial data to discover predictive signals (alpha).
• Use historical and real-time data to backtest strategies under various market conditions.
• Develop financial models using advanced mathematical and statistical techniques such as machine learning, time-series forecasting, factor modeling, etc.
• Analyze risk-adjusted returns and optimize strategies based on drawdown, Sharpe ratio, volatility, etc.
• Work with large, complex datasets using Python, R, or C++ to clean, process, and derive insights.
• Automate data collection, data transformation, and model calibration pipelines.
• Use SQL / NoSQL databases or big data tools for data management and retrieval.
• Collaborate with traders, portfolio managers, and data engineers to refine strategies and implement research findings in production.
• Translate complex quantitative findings into actionable insights and communicate them effectively to non-technical stakeholders.
• Continuously monitor model performance and suggest improvements based on live data and market shifts.

Required Skills & Qualifications :

(ref : hirist.tech)