Quant Trader

About Pk Investments

Pk Investments is a real estate investment company headquartered in Texas, USA, focused on property acquisition and management using market insights and data-driven strategies. The team emphasizes analytical aptitude, integrity, and collaboration to enhance their investment portfolio.

Role Overview

This full-time, on-site Jaipur-based Quant Trader will be responsible for developing and implementing quantitative trading strategies aligned with the company's investment goals. Daily tasks include analyzing market data, building and refining algorithmic trading models, monitoring live market activity, and adjusting trading positions based on risk and performance assessments. The role requires close cooperation with investment and analytics teams to improve market-making, identify quantitative investment prospects, and optimize execution processes. Additionally, the trader will document models, maintain backtesting systems, and support ongoing improvements to trading infrastructure.

Qualifications and Requirements

• Expertise in Trading and Market Making, capable of executing and managing live trades efficiently.
• Proven experience in Trading Strategies and Quantitative Investing, including systematic strategy design, backtesting, and optimization.
• Strong quantitative analytical abilities, with proficiency in statistical analysis and managing large datasets for trading insights.
• Deep understanding of financial markets, market microstructure, and risk management concepts.
• Practical skills with programming languages commonly utilized in quantitative finance such as Python or R, along with data analytical tools.
• Academic background with a Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or related quantitative fields.
• Willingness and ability to work on-site in Jaipur and collaborate effectively within diverse teams, with clear communication skills on complex topics.
• Prior involvement in proprietary trading, quantitative research, or algorithmic trading is advantageous.