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Kernel Trading Technologies

Quantitative Developer

chicago, IL

Check who can apply and the requirements below before continuing.

About this opportunity

Kernel Trading Technologies lists this Quantitative Developer opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.

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

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Worksite address

chicago, IL, 60290, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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