Quantitative Developer

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

Benefits offered by this job

Comprehensive health benefits

Daily meals provided

Gym membership

Unlimited office snacks

Fun team outings

Organized game nights

Job summary

Vatic Labs in New York is seeking a Quantitative Developer to join their team at the intersection of AI research and software engineering. In this role, you will collaborate with top-tier researchers to develop algorithmic trading systems and enhance their productivity through innovative code development.

The ideal candidate has a Bachelor's degree in a relevant field and over 2 years of experience in building high-performance, distributed software. A deep understanding of C++ and Python, as well as a strong grasp of machine learning techniques, is essential. The position offers competitive benefits and a salary range of $150,000 to $350,000.

Qualifications

• 2+ years of experience building high-performance, distributed software.
• Strong understanding of low latency and distributed computing.
• Innate curiosity for understanding how markets work.

Responsibilities

• Collaborate with the team to build and scale trading systems.
• Develop innovative code for rapid testing in markets.
• Enhance productivity of researchers through software development.

Skills

C++

Python

Machine learning

Statistical learning

Deep learning methods

Performance tuning/optimization

Education

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics or related field

Tools

Linux environment

High-performance computing

Job description

Overview

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.

Background & Experience

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.

Qualifications

• 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

Benefits

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office.
• Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.
• Unlimited office snacks – Fuel your day with your favorite snacks, always stocked.
• Fun team outings – Build camaraderie and unwind with regular events.
• Organized poker, ping pong, and game nights– We’re a competitive group that enjoys getting together to challenge one another.

The base salary range for this role is between $150,000 and $350,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed-upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.