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full-time

Quantitative Researcher

Kernel Trading Technologies

Employer
Kernel Trading Technologies
Location
Chicago
Working pattern
on-site
Salary
$90,000–$350,000 / year

About the role

Develop, test, and implement quantitative models and machine-learning methods for trading strategies, analyzing large datasets to identify opportunities and improve model performance. Collaborate with quantitative developers to integrate models into trading systems, research market conditions and industry trends, and explain quantitative findings to non-technical colleagues. An advanced degree in a quantitative field such as mathematics, physics, statistics, computer science, or engineering is required, along with strong programming skills, preferably in Python or C++. Candidates should have a solid foundation in probability, statistics, machine learning, data structures, algorithmic complexity, and numerical algorithms, as well as strong communication skills and intellectual curiosity.

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