Quantitative Strategist - Asset Classes

Quadeye is a global algorithmic trading firm operating across major financial markets, exchanges, and asset classes. We combine quantitative research, advanced mathematics, and high-performance technology to build automated trading strategies that operate at scale.

Our teams work at the intersection of markets, mathematics, data, and technology
, with significant ownership over the ideas they develop and deploy. We foster a meritocratic environment where strong problem-solving, intellectual curiosity, and execution are valued over hierarchy.

We are looking for Quantitative Strategists who are passionate about financial markets, quantitative research, and building data-driven trading strategies.

In this role, you will work across the complete strategy lifecycle — from research and idea generation to implementation, production deployment, and continuous optimization
. You will work with large-scale datasets, develop predictive models, and translate research into highly optimized strategies for live trading across global markets.

• Research and develop quantitative trading strategies using large-scale market and alternative datasets.
• Apply advanced statistical, mathematical, and machine learning techniques to identify trading opportunities.
• Design and implement strategies in high-performance, production-quality code
  .
• Backtest, evaluate, and optimize strategies across different market conditions.
• Productionize research and continuously monitor and improve live strategies.
• Investigate trading performance and latency to identify opportunities for further optimization.
• Collaborate closely with researchers, traders, and engineers to develop new ideas and improve existing strategies.

• 3+ Years of experience.
• Strong problem-solving and quantitative aptitude
  .
• Excellent understanding of data structures, algorithms, and object-oriented programming
  .
• Strong programming skills in C++ or C.
• Strong interest in financial markets and quantitative trading
  .
• Ability to work with large datasets and solve complex problems independently.
• Comfortable working in a fast-paced, high-ownership environment
  .
• Strong work ethic, communication skills, and attention to detail.
• Good working knowledge of Linux
  .
• Experience with Python, R, or Perl is a plus.

• Work on challenging problems at the intersection of quantitative finance, mathematics, and technology
  .
• Own strategies end-to-end, from research to live production
  .
• Work with large-scale datasets and world-class trading infrastructure.
• Collaborate with highly skilled researchers, traders, and engineers.
• Operate in a high-performance, meritocratic environment where your work directly impacts trading outcomes.

If you're excited by markets, data, algorithms, and solving hard problems, we'd love to hear from you.