Quantitative Developer

Kernel Trading Technologies; Chicago (IL); On-site; USD 140,000 - 230,000; Full time

Job summary

Kernel Trading Technologies is seeking a Quantitative Developer to join our team. You will work with researchers and technologists on our end-to-end trading and research infrastructure, helping manage market data, execution, simulation, and risk.

The ideal candidate has strong Python and C/C++ skills, solid Linux/Unix experience, and a passion for solving complex problems with technology in a collaborative, fast-paced environment.

Qualifications

• Proficiency with Python and low-level languages like C/C++.
• Experience with Linux/Unix operating systems.
• Strong understanding of data structures and algorithms.
• Ability to communicate effectively in a collaborative, technical team.

Responsibilities

• Develop market data, signals, and trading platform.
• Build data pipelines for large-scale market data.
• Provide data systems and architecture through distributed services.
• Collaborate with researchers and portfolio managers to derive insights from data.

Skills

Python

C/C++

Linux/Unix

Data structures

Algorithms

Communication

Problem solving

Job description

Kernel Trading Technologies started as a trading group in a hedge fund in 2022 and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story.

The Role

We are seeking highly qualified and talented Quantitative Developer to join the team. In this role you will work directly with some of the best and most experienced researchers and technologists in the quantitative trading industry. You’ll work collaboratively to contribute to our cutting-edge trading and research infrastructure. You will have the opportunity to work on the end-to-end platform helping to manage market data, execution, simulation, data transformation, positions and risk. The ideal candidate enjoys keeping updated with the latest technologies and distributed systems and would look to bring on the relevant technologies to help the team continue to be bleeding edge.

What you’ll do

In this role, you will:

• Directly contribute to the development of market data, signals prediction and trading platform
• Design, build and launch highly efficient and reliable data pipelines to process large-scale market data
• Provide data systems and architecture through distributed services with parallel computing
• Partner with quantitative researchers and portfolio managers to provide insights through data

What you’ll bring

What you need:

• Proficiency with Python, Low-level coding languages like C/C++ and experience with Linux/Unix operating systems
• Understanding of data structures, algorithmic complexities, and numerical algorithms
• Ability to communicate effectively in a collaborative, complex and highly technical team environment
• Intellectual curiosity and passion for solving challenging problems using technology