AI Research Internship in Quantitative Finance

XTX Markets; New York (NY); On-site; USD 355,446 - 425,754; Full time

Benefits offered by this job

Generous sign-on bonus

Access to advanced computational resources

Mentorship from experienced researchers

Job summary

A leading algorithmic trading firm in New York is seeking passionate students for an AI Research Internship, where interns will engage in groundbreaking machine learning research. Interns will work alongside experienced researchers, focusing on developing original algorithms and utilizing advanced computational resources. Ideal candidates should be pursuing an advanced degree in a quantitative field, showing strong research capabilities and knowledge of deep learning technologies. This opportunity offers an innovative workspace and the potential for full-time roles upon successful completion.

Qualifications

• Pursuing an advanced degree, ideally Ph.D., in computer science or related field.
• Strong evidence of ability to conduct original research.
• Deep understanding of modern deep learning architectures.

Responsibilities

• Engage in pioneering research to create original machine learning algorithms.
• Utilize knowledge across deep learning and optimization.
• Architect, build, and refine models and software prototypes.

Skills

Research ability

Machine learning knowledge

Deep learning architectures

Programming skills

Data science fundamentals

Education

Advanced degree (ideally Ph.D.) in quantitative field

Job description

A leading algorithmic trading firm in New York is seeking passionate students for an AI Research Internship, where interns will engage in groundbreaking machine learning research. Interns will work alongside experienced researchers, focusing on developing original algorithms and utilizing advanced computational resources. Ideal candidates should be pursuing an advanced degree in a quantitative field, showing strong research capabilities and knowledge of deep learning technologies. This opportunity offers an innovative workspace and the potential for full-time roles upon successful completion.