Jump Trading Group

About the Company

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets.

Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect.

At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Listed Jobs

Company Name

Jump Trading Group

Job Title

AI Research Scientist | Research & Development

Job Description

**Job Title** AI Research Scientist – Research & Development **Role Summary** Lead end‑to‑end research projects that apply large language model (LLM) techniques to generate quantitative trading signals from unstructured data. Drive the full lifecycle from problem definition through model design, implementation, and production deployment, while collaborating closely with trading researchers and engineering teams. **Expactations** - Minimum 5 years of proven experience building machine‑learning systems with measurable impact. - Demonstrated ability to formulate research problems, execute experiments, and deliver production‑ready solutions. - Strong quantitative reasoning and effective communication with domain experts. - Consistent, reliable availability and teamwork mindset. **Key Responsibilities** - Identify and define high‑impact research problems aligned with current and emerging LLM capabilities. - Design, prototype, and iterate novel ML models and pipelines for signal generation. - Develop and maintain production‑grade codebases in Python and/or C++. - Optimize model training and inference on HPC/GPU clusters; manage distributed training workflows. - Collaborate with trading and engineering teams to integrate models into firm‑wide quantitative workflows. - Contribute to internal tooling, infrastructure, and best‑practice guidelines for ML research. - Publish findings internally; optional external publications or open‑source contributions. **Required Skills** - Expertise in machine learning, with hands‑on experience in transformer or state‑space models. - Proficient in Python; strong C++ skills preferred. - Experience with PyTorch (preferred) and/or TensorFlow, JAX. - Knowledge of HPC environments, distributed training, and GPU performance tuning (CUDA/ROCm) is a plus. - Strong problem‑solving ability, intellectual curiosity, and pragmatic engineering outlook. - Excellent written and verbal communication for cross‑functional collaboration. **Required Education & Certifications** - Advanced degree (Ph.D. or M.S.) in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative discipline. - Equivalent industry experience may be considered in lieu of formal degree. - No specific certifications required; research publications or open‑source contributions are advantageous.

New york, United states

On site

Mid level

12-11-2025