Quantitative Analyst

• Design and Optimize Strategies: Implement, refine, and optimize trading strategies and ML models based on market data, order flow, and trade data from market quotes. Backtest these strategies using Python, R, and other relevant tools.
• Investment Idea Generation: Generate short, medium, and long-term investment ideas and strategies through rigorous quantitative research and data analysis.
• AI and ML in Finance: Apply cutting-edge AI and ML techniques in stock selection, portfolio construction, and strategy development.
• Data Processing and Analysis: Work with large datasets of equity and derivatives, analyzing market data to extract meaningful insights that can improve model performance and decision-making.

Eligibility criteria:

• Bachelor s or master s degree in quantitative finance, Mathematics, Computer Science, Statistics, Physics, Engineering, or related quantitative disciplines.
• Basic understanding of financial markets, derivatives, equities & Statistical concepts.
• Proficiency in programming languages such as Python and R (other languages like C++, Java are a plus).
• Excellent communication skills, to collaborate with other teams and clients.
• Strong analytical and problem-solving skills.