Quantitative Researcher - USA

About Quadeye

Quadeye is an algorithmic trading firm operating across
major global financial markets and exchanges. We combine quantitative research,
advanced mathematical modeling, and high-performance technology to develop
sophisticated, automated trading strategies across diverse asset classes.

Our teams work at the intersection of markets,
mathematics, statistics, and technology, with significant ownership across
the entire strategy lifecycle—from research and ideation to implementation,
deployment, and optimization.

We offer a highly meritocratic environment where talented
researchers and engineers have the opportunity to work on challenging problems,
access world-class infrastructure, and see the direct impact of their work on
live trading performance.

The Role

We are looking for Quantitative Strategists with 1+ years
of relevant experience to develop, implement, and optimize data-driven
trading strategies across global markets.

You will work with large-scale datasets, apply statistical
and machine learning techniques to identify trading opportunities, and
translate research ideas into robust, high-performance production systems.

This is a high-ownership role where you will be involved
across the full strategy lifecycle:

Research → Signal Development → Backtesting →
Implementation → 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.