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.
Full Stack Engineer will be involved in solving real time user problems and adding new products/features required by our Quant, Infrastructure, Compliance and operations team. The engineer must come up with a possible approach to solve the problem and argue why the solution we are going for is better. He/She will ultimately implement the solution, which involves development, testing, deployment and post- deployment monitoring in good communications with the required teams.
Working in a high paced and competitive stock trading environment with core web application development, scripting, data interpretation and manipulation skills
Designing, creating, and maintaining our in-house software for business requirements
Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
Improve on existing tools to make trade monitoring systems more robust and reliable
Experience : 5+ Years
someone coming from HFT background.
Engineering degree from top institutes in Computer Science(preferred) or any other discipline
Experience in Python web app development (preferably Django)
Experience in front-end technologies like HTML, Java Script preferably React, Angular
Experience in Shell/Perl or Python scripting
Prior experience with Linux or Unix based operating systems
Experience/Knowledge of the financial industry will be added advantage(note that it is not mandatory)
Experience with AWS services like ELB, lambda, EC2, route 53
Good with Operating system and system design
Ability to work in a fast-paced environment managing multiple high priority projects
Willingness to learn and work on new technologies
Excellent communication skills
