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 Computer Science, IT, Engineering.
Proficiency in programming languages such as Python (other languages like
C++, Java are a plus).
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.