Quantitative Research Intern: ML Trading Strategies

Trading Interview; Chicago, Northern (IL, KY); Hybrid; USD 131,000 - 160,000; Full time

Job summary

Akuna Capital is seeking Quantitative Research Interns for a 10-week Akunacademy program in our Chicago office. You will work alongside mathematicians, statisticians and technologists to build trading strategies and apply machine learning to derivative markets.

You will develop strategies, design optimization methods and explore new research topics, with a focus on statistics, ML and quantitative modeling. Applicants must be pursuing relevant degrees and graduate by Aug 2028.

Qualifications

• Pursuing a bachelor’s, master’s or PhD in Statistics, Computer Science, Engineering, Mathematics (or a related subject).
• Expertise in statistics and machine learning.
• Experience building mathematical models for complex real-world problems.
• Intermediate programming skills in Python.
• Ability to quickly respond to changing market conditions and solve math problems.

Responsibilities

• Develop trading strategies using statistical and machine learning algorithms.
• Design and implement optimization algorithms for portfolio construction.
• Advance existing initiatives and explore new research topics.

Skills

Statistics

Machine learning

Python

Mathematical modeling

Quant research

Education

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics (or related)

Job description

Akuna Capital is seeking Quantitative Research Interns for a 10-week Akunacademy program in our Chicago office. You will work alongside mathematicians, statisticians and technologists to build trading strategies and apply machine learning to derivative markets.

You will develop strategies, design optimization methods and explore new research topics, with a focus on statistics, ML and quantitative modeling. Applicants must be pursuing relevant degrees and graduate by Aug 2028.