Quantitative Researcher at KERNEL TRADING TECHNOLOGIES LP
New York, NY 10018, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Sep, 25

Salary

90000.0

Posted On

08 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Probability, Mathematics, Dental Insurance, Physics, Health Insurance, Computer Science, Data Structures, C++, Machine Learning, Vision Insurance, Flexible Schedule, Technology, Statistics

Industry

Information Technology/IT

Description

ABOUT US

Kernel Trading Technologies started as a trading group in a hedge fund in 2014 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.

How To Apply:

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Responsibilities

THE ROLE

We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. In this role, you will work closely with our team of portfolio managers, quantitative developers and technologists to develop and improve upon our proprietary trading models and strategies. 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.

WHAT YOU’LL DO

In this role, you will:

  • 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
  • Collaborate with quantitative developers to implement models and strategies in our trading system
  • Conduct research to stay current on market conditions and industry trends
  • Communicate complex quantitative concepts and their implications to non-technical team members
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