Quadeye is an algorithmic trading firm operating across global financial markets. We specialize in building data-driven, automated trading strategies by combining deep market insights with advanced mathematical models and cutting-edge technology.
Our meritocratic culture empowers researchers and engineers to take ownership, innovate, and directly impact trading performance. With world-class infrastructure and real-time feedback, we tackle some of the most challenging problems in quantitative finance.
We are looking for a Quantitative Researcher to develop and enhance data-driven trading strategies for US financial markets.
In this role, you will analyze large datasets, generate predictive signals, and collaborate closely with trading and engineering teams to improve performance and scalability. You will have end-to-end ownership of research and strategy development.
This role is ideal for candidates looking to gain hands-on exposure to US financial markets while working on high-impact trading strategies.
Requirements
Benefits
Skills Required
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
- Strong problem-solving and quantitative skills
- Solid understanding of probability, statistics, and data analysis
- Proficiency in Python
- Proficiency in C++
- Strong knowledge of data structures and algorithms
- Experience working in Linux or Unix environments
- Ability to work in a fast-paced, research-driven environment
- Strong communication and ownership mindset
What We Do
Quadeye combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. By having deepest possible understanding of the financial markets and translating that understanding into great automated trading strategies, we have built a distinct track record of success. We trade across many asset classes and instruments, using a variety of models, across the globe.
