Job description

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. If you possess the following, we would love to explore what is available for you with our team: 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 At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: 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.

Requirements

Must-haves

If you possess the following, we would love to explore what is available for you with our team:
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
At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:
Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance