Quant Programmer/ Analyst

As a member of our team, you will be welcomed into a diverse environment where learning, growth, and new opportunities are at the forefront. We offer the flexibility to work in various shifts and hours, enabling you to collaborate with your new colleagues in creating innovative products and solutions. You will thrive in a positive environment alongside like-minded individuals, where academic scores take a back seat to exceptional skills. Your primary responsibilities will include developing and implementing coding strategies for live trading environments, utilizing automated tools such as Excel and trading-based software. You will be involved in the design, testing, and optimization of high-performance algorithmic trading software, leveraging your expertise in mathematical and Computer Science principles. Real-time trade management, risk analysis, and system optimizations for data processing will be key components of your role. Collaboration with experienced teammates will be crucial as you work on bespoke solutions that enhance our technology stack by balancing speed, features, and cost. A strong foundation in object-oriented design, data structures, and algorithms will be essential for success. You will also be tasked with managing and enhancing existing software, particularly when working with large datasets and conducting data-mining and time-series analysis. To excel in this position, you will need to possess a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field. A solid professional background (2-4 years) in using C/C and Python within a UNIX / LINUX environment is required. Knowledge of network programming, multithreading, computational intelligence, and real-time applications will be beneficial. Familiarity with FIX protocol, TCP/IP, and GUI programming is also desired. We are seeking individuals who are hard-working, self-motivated, and dedicated to completing tasks efficiently. The ability to manage multiple responsibilities in a fast-paced setting is essential. Additionally, familiarity with R and Tableau will be advantageous in this role.,