Quantitative Trader

We are seeking an experienced Quantitative Trader for our Mumbai location.

Pashupati Capital Services (PCS) is a registered stockbroker. We are seeking an experienced Quantitative Trader for our Mumbai location.

Roles & Responsibilites

• Collaborate with the investment team to develop and refine quantitative trading strategies, including statistical arbitrage, market making, and algorithmic trading.
• Conduct in-depth quantitative research, data analysis, and modelling to identify and exploit market inefficiencies and generate profitable trading ideas.
• Utilize advanced mathematical techniques, statistical analysis, and machine learning algorithms to enhance trading models and algorithms.
• Implement and execute trading strategies across various asset classes, including equities, fixed income, commodities, and derivatives.
• Monitor market conditions, news events, and economic indicators to assess potential risks and opportunities for portfolio optimization.
• Develop and maintain cutting-edge trading infrastructure, including back-testing frameworks, execution systems, and risk management tools.
• Collaborate with technology teams to implement and optimize trading algorithms and strategies.
• Monitor and evaluate the performance of trading strategies, conduct post-trade analysis, and provide recommendations for improvements.
• Stay updated with the latest research and advancements in quantitative finance, market microstructure, and trading technology to enhance trading strategies and maintain a competitive edge.

Qualifications

• Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or a related discipline. Advanced degree (Masters or Ph.D.) preferred.
• Extensive experience (1-3 years) in quantitative trading within a hedge fund, proprietary trading firm, or investment bank.
• Proven track record of developing and implementing profitable trading strategies in various asset classes, with a strong understanding of market microstructure.
• Expertise in quantitative finance, financial mathematics, and statistical analysis. Proficiency in programming languages such as Python, R, MATLAB, or C++.
• Prior experience using Symphony XTS API
• Strong mathematical and analytical skills, with the ability to manipulate and interpret large datasets.
• Knowledge of advanced statistical techniques, machine learning algorithms, and data visualization tools.
• Solid understanding of risk management principles and trading compliance requirements.
• Excellent problem-solving and decision-making abilities, with a keen eye for detail and a results-oriented mindset.
• Strong communication and interpersonal skills, with the ability to work collaboratively within a team and effectively communicate complex ideas to both technical and non-technical stakeholders.
• Demonstrated ability to thrive in a fast-paced and dynamic trading environment.