Researcher (Data Analysis)

Job Description

About Us Kernel Trading Technologies started as a trading group in a hedge fund 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.
We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. You will have the opportunity to apply your skills in data analysis, statistical modeling, and machine learning to real-world financial data, and contribute to the success of our trading operations.
Develop, test, and implement quantitative models for our trading strategies, using advanced statistical techniques and machine learning models
Analyze large datasets to identify trading opportunities and improve model performance
Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering
Strong programming skills, preferably in Python or C++
Solid understanding of probability, statistics, and machine learning
Understanding of data structures, algorithmic complexities, and numerical algorithms
Job Type: Full-Time

Dental insurance
~ Flexible schedule
~ Flexible spending account
~ Health insurance
~ Relocation assistance
~ Retirement plan
~ Bonus opportunities
Signing bonus

Monday to Friday