Quantitative Researcher — ML-Driven Market Strategies

Akuna Capital; Illinois; On-site; USD 131,000 - 160,000; Full time

Benefits offered by this job

Performance bonus

Medical, dental, vision insurance

Retirement contributions

Paid time off

Job summary

Akuna Capital is seeking Quantitative Researchers to join a multidisciplinary team of mathematicians, statisticians, technologists and traders in Chicago and beyond. You will work on developing trading strategies and predictive models by combining quantitative rigor with market expertise.

The role emphasizes collaboration and fast problem solving in a dynamic environment. The team will apply machine learning to trading strategies, feature research, and scalable workflows, with compensation

Qualifications

• 3+ years of professional work experience in statistics, machine learning or related area
• BS/MS/PhD in a technical field (Engineering, Computer Science, Math, Physics)
• Proven research background in academic or professional environment
• Programming experience in Python or C++
• Expertise in statistics and machine learning
• Financial experience or knowledge of trading is a plus

Responsibilities

• Develop trading strategies using statistical and machine learning algorithms
• Drive improvements in predictive models through rigorous signal and feature research
• Design and optimize machine learning workflows to support scalable, efficient research
• Collaborate effectively with team members to deliver results

Skills

Machine learning

Statistics

Python

C++

Fast problem solving

Education

BS/MS/PhD in Engineering/CS/Math/Physics

Job description

Akuna Capital is seeking Quantitative Researchers to join a multidisciplinary team of mathematicians, statisticians, technologists and traders in Chicago and beyond. You will work on developing trading strategies and predictive models by combining quantitative rigor with market expertise.

The role emphasizes collaboration and fast problem solving in a dynamic environment. The team will apply machine learning to trading strategies, feature research, and scalable workflows, with compensation