About the Company:
Quadeye is an algorithmic trading firm operating across all major financial markets and exchanges. We specialize in transforming deep market insights into sophisticated, automated trading strategies across diverse asset classes. By combining advanced mathematical models with cutting-edge technology, we build scalable, resilient, and high-performance trading systems. Our meritocratic culture empowers engineers and researchers to take complete ownership, drive innovation, and make a direct impact on trading performance. With access to world-class infrastructure, mentorship, and real-time feedback, our team thrives on solving some of the toughest problems in quantitative finance.
Role Overview
We are seeking experienced Quantitative Strategists to design, implement, and optimize data-driven trading strategies for global markets. You will work with large datasets, apply advanced statistical and machine learning techniques, and write high-performance code for live deployment. This role offers full ownership of the strategy lifecycle—from research to production—within a fast-paced, collaborative environment.
What You’ll Work On
What We’re Looking For
Skills Required
- Engineering degree in Computer Science or a related field from a premier institute
- Strong problem-solving skills and quantitative aptitude
- Understanding of data structures and algorithms
- Understanding of object-oriented programming, preferably in C++ or C
- Ability to handle multiple tasks in a fast-paced environment
- Strong communication skills and work ethic
- Working knowledge of Linux
- Familiarity with R, Python, or Perl
- Up to one year of relevant technical experience in technology firms or product companies
- Exposure to Asian, US, or other non-European markets
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.
