[Hiring] Quant Trader @Weekday AI

Role Description

This role is for an experienced Quant Trader to join a performance-driven trading team operating across global financial markets. This is a full-time remote opportunity (India) for professionals with 5+ years of experience in quantitative trading who excel at building data-driven, systematic strategies.

• Research, design, and deploy algorithmic trading models using advanced statistical techniques and technology-driven execution systems.
• Work at the intersection of quantitative research, market microstructure, and risk management.
• Continuously optimize strategies to adapt to evolving market dynamics.

Qualifications

• 5+ years of hands-on experience in quantitative trading or systematic strategy development.
• Strong foundation in mathematics, statistics, financial engineering, or a related quantitative field.
• Proficiency in programming languages such as Python, C++, or similar for research and live trading environments.
• Deep understanding of financial markets, derivatives, and market microstructure.
• Proven track record of building profitable and scalable algorithmic trading strategies.
• Experience with backtesting tools, large datasets, and performance analytics frameworks.
• Strong risk management mindset with disciplined capital allocation practices.
• Ability to work independently in a remote setup while maintaining high accountability and performance standards.
• High intellectual curiosity, strong problem-solving ability, and a continuous improvement mindset.

Requirements

• Design, develop, and implement systematic quantitative trading strategies across relevant asset classes.
• Conduct in-depth quantitative research using statistical modeling, time-series analysis, and machine learning techniques.
• Build, test, and optimize backtesting frameworks to validate trading hypotheses.
• Deploy and monitor live trading strategies, ensuring performance stability and scalability.
• Analyze execution quality, transaction costs, slippage, and liquidity conditions to enhance trade efficiency.
• Develop and maintain risk management models to control volatility, drawdowns, and capital exposure.
• Track and evaluate performance metrics such as Sharpe ratio, alpha generation, and portfolio risk indicators.
• Collaborate with technology teams to improve trading infrastructure, automation, and data pipelines.
• Continuously refine strategies based on market behavior, macroeconomic trends, and structural changes.
• Maintain detailed documentation and reporting of strategy performance and improvements.