Responsibilities
Job Description
- Quantitative Research & Strategy Development: Apply advanced mathematical and statistical models to predict market behavior and generate trading signals.
- Data Analysis & Pattern Recognition: Analyze large-scale financial datasets to identify market inefficiencies and profitable trading opportunities.
- Algorithm Development & Backtesting: Research, implement, and rigorously backtest trading algorithms using historical and real-time market data.
- Academic Research Integration: Incorporate concepts from academic literature to build innovative trading models.
- Trading Strategy Execution: Deploy and manage high-frequency and mid-frequency trading strategies across multiple asset classes through an in-house algorithmic trading platform.
The Ideal Candidate Will Have Experience In
- Developing and deploying mid-frequency trading (MFT) strategies in Indian equity derivatives and commodities markets
- Building a strong record in high-frequency trading (HFT) and now looking to focus on MFT microstructure strategies for superior returns.
As a Senior Quantitative Researcher, you will play a critical role in strengthening the firm’s trading capabilities by designing, testing, and deploying fully automated trading strategies across multiple asset classes.
Required Skills
['Python']
Additional Information