- •Research, design, and optimize quantitative trading strategies for Indian and global financial markets using mathematical models, statistical techniques, and real-time market data.
- •Analyze large-scale datasets to identify market inefficiencies, generate alpha, and evaluate strategy performance through rigorous backtesting using metrics such as Sharpe ratio, drawdown, slippage, and latency.
- •Collaborate with quantitative researchers, traders, and engineers to develop signal generation, execution logic, and risk management frameworks, transforming research into robust, production-ready trading strategies.
- •Ideal for analytical problem solvers with a strong foundation in mathematics, statistics, programming, and financial markets who enjoy tackling complex challenges through data-driven research and quantitative thinking.
From Estee Advisors' posting. See the original
