About Quadeye

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

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

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

The Role

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

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

This is a high-ownership role where you will be involvedacross 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.

Requirements

What We'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 degree in Mathematics, Statistics, Electrical Engineering, Physics, or a related quantitative discipline.
Strong academic background from a top-tier university / Tier-1 institution.
Exceptional problem-solving and quantitative aptitude.
Strong programming skills in C++ or C; proficiency in Python is a plus.
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 operate effectively in a fast-paced environment.
Strong communication skills, intellectual curiosity, and a high level of ownership.

Quantitative Researcher - USA