Quant Research Intern: ML-Driven Market Strategies

Akuna Capital Llc

Chicago, Northern (IL, KY)

Hybrid

USD 131,000 - 160,000

Part time

14 days+
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Job summary

Akuna Capital LLC in Chicago is offering a 10-week Quant Research Internship as part of the Akunacademy program. You will join a team of mathematicians, statisticians and technologists to develop trading strategies for derivatives using machine learning and quantitative methods.

The role emphasizes rapid problem solving, research-driven modeling, and portfolio construction optimization. Applicants should be pursuing a bachelor’s, masters or PhD in a quantitative field and graduate by August 2028

Qualifications

  • Pursuing a bachelor’s, masters 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
  • Legal authorization to work in the U.S. on day one, including CPT/OPT or STEM for students

Responsibilities

  • Develop trading strategies using statistical and machine learning algorithms
  • Design and implement optimization algorithms for portfolio construction
  • Develop quantitative models describing market behavior
  • Advance existing initiatives and explore opportunities for new research topics

Skills

Statistics
Machine Learning
Mathematical Modeling
Python

Education

Bachelor’s/Masters/PhD in Statistics, CS, Engineering or Math

Job description

Akuna Capital LLC in Chicago is offering a 10-week Quant Research Internship as part of the Akunacademy program. You will join a team of mathematicians, statisticians and technologists to develop trading strategies for derivatives using machine learning and quantitative methods.

The role emphasizes rapid problem solving, research-driven modeling, and portfolio construction optimization. Applicants should be pursuing a bachelor’s, masters or PhD in a quantitative field and graduate by August 2028

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