We are seeking a skilled Quantitative Analyst to join our PCG team focused on developing programming-based systems and rule-based trading strategies in the Indian stock market.
The ideal candidate will leverage their expertise in quantitative finance to enhance our research capabilities and automate trading processes.
Key Responsibilities :
Analyze financial market data, including historical price data, fundamental data, and technical indicators, to identify profitable trading opportunities.
Identify trends, patterns, and anomalies in financial markets.
Collaborate with fundamental research analysts to integrate quantitative methods into existing workflows.
Implement risk management algorithms and ensure trading systems are robust, efficient, and scalable.
Contribute to the automation of data collection, pre-processing, and analysis pipelines.
Develop, back test, and optimize rule-based trading strategies for Indian equity markets.
Stay up to date with the latest trends and advancements in quantitative finance, machine learning, and algorithmic trading.
Required Qualifications and Experience :
Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Finance, Engineering, or a related field.
Advanced certifications (CFA, FRM, CQF, etc.) or further studies in quantitative finance or data science are a plus.
Minimum of 2-5 years of experience in quantitative finance, algorithmic trading, or financial technology roles.
Strong experience in designing, implementing, and back testing quantitative trading strategies, ideally in Indian or emerging market equities.
Practical knowledge in risk management techniques and strategy optimization.
Solid understanding of financial markets, especially equity markets in India, including market microstructure, order types, and trading strategies.