Quantitative Researcher

Kernel Trading Technologies LP; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Kernel Trading Technologies LP invites highly qualified Quantitative Researchers to join our team. You will work with portfolio managers, quantitative developers and technologists to develop and improve our proprietary trading models using data analysis, statistics and machine learning on real-world financial data.

You will analyze large datasets, test models, and communicate complex quantitative concepts to non-technical colleagues while staying current on market conditions and industry trends.

Qualifications

• Advanced degree in a quantitative field.
• Strong programming skills in Python or C++.
• Solid understanding of probability, statistics, and machine learning.
• Knowledge of data structures, algorithms, and numerical methods.
• Ability to communicate complex quantitative concepts to a technical team.

Responsibilities

• Develop, test, and implement quantitative models for trading strategies.
• Analyze large datasets to identify opportunities and improve models.
• Collaborate with developers to implement models in the trading system.
• Conduct market research to stay current on conditions and industry trends.
• Communicate complex quantitative concepts to non-technical stakeholders.

Skills

Python

C++

Statistics

Machine Learning

Data Analysis

Communication

Team Collaboration

Education

Advanced degree in Mathematics/Physics/Statistics/CS/Engineering

Job description

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.

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

What you’ll bring

What you need:

• 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
• Ability to communicate effectively in a collaborative, complex and highly technical team environment
• Intellectual curiosity and passion for solving challenging problems using technology