Quantitative Developer: AI Trading & Low-Latency Systems

Vatic Labs; New York (NY); On-site; USD 150,000 - 350,000; Full time

Benefits offered by this job

Direct executive exposure

Full health insurance for employees &/

Job summary

Vatic Labs in New York is seeking a Quantitative Developer to help build and scale state-of-the-art algorithmic trading systems. You will work with computer scientists and researchers to enable rapid testing and real-time market deployment, focusing on low-latency distributed code.

The role emphasizes collaboration, innovation, and balancing rigorous research with practical software development in a fast-paced environment.

Qualifications

• Bachelor's degree in CS, EE, 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 to build and scale state-of-the-art algorithmic trading systems.
• Develop code enabling rapid testing and application to markets.
• Work with computer scientists and researchers to enhance productivity.
• Bring ideas to life with real-time solutions.

Skills

Bachelor's degree

Distributed software

C++

Python

Linux

Machine learning

Performance tuning

High-performance computing

Markets understanding

Education

Bachelor's degree in CS/EE/Math or related

Job description

Vatic Labs in New York is seeking a Quantitative Developer to help build and scale state-of-the-art algorithmic trading systems. You will work with computer scientists and researchers to enable rapid testing and real-time market deployment, focusing on low-latency distributed code.

The role emphasizes collaboration, innovation, and balancing rigorous research with practical software development in a fast-paced environment.