Quantitative Analyst

Position:

Role Overview:

We are seeking a highly motivated Quantitative researchers to join our team. The ideal candidate will be responsible for identifying trading alphas and conducting market analytics for algorithmic trading, with a primary focus on Futures and Options (F&O) markets, including high-frequency trading (HFT). The role involves analyzing both Indian and global market data to develop and implement data-driven trading strategies in F&O markets. The candidate should have a strong foundation in quantitative research, statistical modeling, and understanding financial market dynamics, particularly in derivatives. Additionally, proficiency in programming languages such as Python, R, C++, or C, along with SQL, is essential for handling large datasets, developing robust trading models, and ensuring efficient execution. Our focus is on individuals who are eager to develop and implement data-driven trading strategies, identify market inefficiencies, and leverage statistical models to optimize risk and performance. While you may not be expected to know everything listed here, we value a strong commitment to learning and mastering all aspects of the role. We are looking for critical thinkers with robust quantitative skills and a collaborative mindset to tackle complex trading challenges. Your contributions will play a key role in driving our vision of becoming the leading quant-driven trading desk in the country.

Job Responsibilities:

The position holder shall be responsible for:

• Develop and refine trading strategies using quantitative research and statistical techniques.

• Analyze market data to identify inefficiencies and trading opportunities.

• Design, implement, and optimize systematic trading models and execution algorithms.

• Backtest and validate models to ensure performance and robustness.

• Apply machine learning and predictive modeling to enhance strategy development.

• Work with high-dimensional datasets and advanced data analysis techniques.

• Conduct hypothesis testing and statistical inference to validate strategies.

• Build and maintain real-time algorithmic trading platforms, focusing on low-latency optimization. • Develop and improve execution algorithms for market-making and arbitrage strategies.

• Collaborate with senior management, traders, and researchersto refine trading models.

• Oversee systematic trading infrastructure testing, including automation QA.

• Monitor global financial events and analyze their impact on market movements.

• Track corporate actions and related investment opportunities.

• Assist in portfolio construction, risk management, and strategy execution.

• Develop risk monitoring tools and statistical models for real-time decision-making.

• Prepare reports and presentations for internal discussions.

Required Skills & Qualifications:

• Proficiency in Python, R, C++, or C.

• Strong SQL skills for data manipulation.

• Solid understanding of factor models, portfolio optimization, and risk management.

• Strong background in time series analysis.

• Experience with ML, deep learning, and predictive analytics.

• Ability to work with large datasets.

• Strong analytical and problem-solving skills.

• Eagerness to learn in algorithmic trading and quantitative finance