Quantitative Researcher

Celestial Tech s a dynamic IT tech consulting firm committed to helping businesses thrive in the digital era. With a team of experienced IT professionals and technology experts, we provide strategic consulting, customized solutions, and end-to-end support that drive innovation and operational efficiency.

Our mission is to bridge the gap between business needs and cutting-edge technology. Whether you are a startup or an established enterprise, we bring the right tools, knowledge, and insights to accelerate your digital transformation.

Responsibilities

• Design, develop, and validate alpha-generating strategies based on historical data
• Analyze the expected value and risk profile of trading ideas under various conditions
• Conduct large-scale simulations to test stop/target logic, position sizing, and execution risk
• Transform discretionary patterns or observed market behavior into rule-based strategies
• Collaborate with data engineering and ML teams to integrate signals and optimize performance
• Monitor live performance and iterate on strategy logic based on real-world feedback

Requirements·

• 2–5 years of experience in a quantitative trading, research, or strategy role
• Strong background in statistics, applied mathematics, or a related field·
• Proficient in C++, Python (pandas, numpy); SQL or other data query languages a plus·
• Experience working with large historical datasets (tick/intraday preferred)·
• Familiarity with market microstructure and real-world execution dynamics·
• Deep understanding of risk-adjusted performance metrics and strategy evaluation frameworks