Quantitative Developer

Vatic Labs•New York, NY

12d•$150,000 - $350,000•Onsite

About The Position

Interested in working at the intersection of AI research, quant trading, and software engineering? As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You will work alongside computer scientists and researchers helping to enhance their productivity by developing innovative code that enables their work to be rapidly tested and applied to the markets. Quantitative Developers are integral in bringing ideas to life and creating real-time solutions. The nature of the problems we work on is challenging, hence we hire some of the world's top talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists have been recognized as leaders in their field. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative, fostering innovation and growth.

Requirements

Earned or will earn a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics or related field
2+ years’ experience building high-performance, distributed software
Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and distributed computing
Strong understanding of machine learning, statistical learning, or deep learning methods and technologies
Performance tuning/optimization of software and algorithms
Exposure to high-performance computing
Innate curiosity for understanding why and how the markets work

Responsibilities

Collaborate with the team to build and rapidly scale state-of-the-art algorithmic trading systems.
Work alongside computer scientists and researchers to enhance their productivity by developing innovative code.
Develop code that enables rapid testing and application of ideas to the markets.
Bring ideas to life and create real-time solutions.