Quantitative Researcher

Quadeye is an algorithmic trading firm operating across global financial markets and exchanges. The company is seeking a Quantitative Researcher to develop, implement, and optimize data-driven trading strategies using large-scale datasets, statistical modeling, and machine learning, while contributing across the full strategy lifecycle from research through production optimization.

What you'll do:

• Research and develop quantitative trading strategies using large-scale financial and market datasets
• Apply statistical modeling, machine learning, and quantitative techniques to identify and exploit market opportunities
• Develop robust and efficient trading models and translate research ideas into production-ready systems
• Write clean, optimized, and scalable code for live trading environments
• Analyze strategy performance and continuously identify opportunities to improve prediction accuracy, execution, and performance
• Work closely with quantitative researchers, traders, and engineers to develop and deploy new strategies
• Investigate live strategy behavior, diagnose performance issues, and iterate rapidly based on real-time feedback

What they're looking for:

• 1+ years of professional experience in quantitative trading, quantitative research, systematic trading, financial modeling, or a closely related field
• Bachelor's, Master's, or PhD in Mathematics, Statistics, Electrical Engineering, Physics, or a related quantitative discipline
• Strong academic background from a top-tier university or equivalent institution
• Exceptional quantitative aptitude and problem-solving skills
• Strong programming skills in C++ or C
• Solid understanding of statistical modeling, probability, and data analysis
• Experience working with large datasets and developing data-driven models
• Working knowledge of Linux/Unix environments
• Ability to work independently, manage multiple priorities, and perform effectively in a fast-paced environment
• Strong communication skills, intellectual curiosity, and a high degree of ownership
• Strong programming skills in C++ or C; proficiency in Python is a plus