Quant Research Intern: ML-Driven Trading Strategies

Akuna Capital Options Trading 201 Course; Chicago (IL); In loco; USD 117.000 - 143.000; Tempo pieno

Descrizione del lavoro

Akuna Capital in Chicago is offering a 10-week Quant Research Internship through the Akunacademy program. You will join a team of mathematicians, statisticians and technologists to design trading strategies using quantitative methods and derivatives expertise.

You will apply machine learning to develop models, build trading strategies, and optimize portfolios. Candidates pursuing a bachelor’s, master's or PhD in statistics, CS, engineering or mathematics, with Python skills and a GPA above 3.5,

Competenze

• 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
• Must graduate by August 2027
• GPA of 3.5 or above
• Legal authorization to work in the U.S. is required on the first day of employment including CPT/OPT/STEM for F-1 students

Mansioni

• 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

Conoscenze

Statistics

Machine Learning

Python

Formazione

Bachelor's/Master's/PhD in Statistics, CS, Engineering or Mathematics

Descrizione del lavoro

Akuna Capital in Chicago is offering a 10-week Quant Research Internship through the Akunacademy program. You will join a team of mathematicians, statisticians and technologists to design trading strategies using quantitative methods and derivatives expertise.

You will apply machine learning to develop models, build trading strategies, and optimize portfolios. Candidates pursuing a bachelor’s, master's or PhD in statistics, CS, engineering or mathematics, with Python skills and a GPA above 3.5,