Research Scientist - Deep Learning for Quant Finance

Trading Interview; New York (NY); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA/FSA

Job summary

Jump Trading Group is seeking research scientists to apply deep learning across complex quantitative domains. You will lead open-ended projects from concept to production, refining models, tools, and infrastructure with a focus on rigorous mathematics and statistics.

The role emphasizes collaboration, strong English communication, and a track record of impactful publications in top venues. Competitive base salary and comprehensive benefits are provided.

Qualifications

• 5+ years of experience applying deep learning to real world problems.
• Strong mathematical and statistical foundations for modeling.
• Proven ability to take ideas from concept to production.
• Excellent written and verbal English communication.

Responsibilities

• Apply deep learning to state-of-the-art research projects in quantitative domains.
• Prototype, implement, and improve models, tools, and infrastructure.
• Collaborate with researchers and engineers to deploy scalable systems.

Skills

Deep learning

Python

C++

Mathematics

Statistics

Research

English

Communication

Education

PhD or MS in CS/Math

Tools

Python

C++

Job description

Jump Trading Group is seeking research scientists to apply deep learning across complex quantitative domains. You will lead open-ended projects from concept to production, refining models, tools, and infrastructure with a focus on rigorous mathematics and statistics.

The role emphasizes collaboration, strong English communication, and a track record of impactful publications in top venues. Competitive base salary and comprehensive benefits are provided.