remote
AI Research Scientist - Jump Trading
Research Engineer
Conduct cutting‑edge AI research to develop novel algorithms and models that can be deployed in high‑frequency trading, leveraging Python, C++, machine learning, deep learning, and statistical techniques.
About the role
Key Responsibilities
- Design and implement advanced machine learning and deep learning models for quantitative trading strategies.
- Conduct rigorous research, experiment, and validation of novel algorithms in a high‑performance computing environment.
- Collaborate with mathematicians, physicists, and software engineers to translate research findings into production‑ready code.
- Publish research results internally and, when appropriate, in peer‑reviewed venues.
- Optimize code for low‑latency execution on specialized hardware and large‑scale data pipelines.
Requirements
- Ph.D. or equivalent experience in Computer Science, Mathematics, Physics, or a related quantitative field.
- Strong programming skills in Python and C++ with experience in high‑performance or low‑latency systems.
- Deep knowledge of machine learning, deep learning, and statistical modeling techniques.
- Proven track record of research publications or successful deployment of AI models in production.
- Excellent problem‑solving abilities and the capacity to work collaboratively in a fast‑paced, research‑driven environment.
Skills
pythoncmachine learningdeep learning