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

Job Description

Job title: AI Research Scientist Role Summary: Lead open‑ended research projects from concept to production, combining advanced language‑modeling techniques with quantitative trading expertise to generate actionable signals from unstructured data. Expectations: Deliver measurable ML system improvements, collaborate closely with trading scientists, and advance LLM research across the firm’s quantitative pipelines. Key Responsibilities: - Identify and define research problems aligned with current and future large‑language‑model capabilities. - Design, prototype, and evaluate ML models, iteratively refining them for production readiness. - Engineer robust, scalable infrastructures for model training, inference, and monitoring. - Partner with trading research teams to understand domain constraints and translate them into machine‑learning solutions. - Communicate research findings, model performance, and deployment plans to cross‑functional stakeholders. - Mentor junior researchers and contribute to the broader AI engineering community within the organization. Required Skills: - 5+ years of building machine‑learning systems with demonstrable industry or academic impact. - Strong foundation in general ML, with hands‑on experience in language‑modeling architectures (transformers, SSMs, etc.). - Proficiency in Python and/or C++ development; familiarity with PyTorch (preferred), TensorFlow, or JAX. - Experience with large‑scale, distributed training and high‑performance computing environments. - Knowledge of GPU performance optimization (CUDA / ROCm) and model deployment best practices. - Proven ability to solve complex quantitative problems and articulate solutions to non‑technical audiences. - Curiosity, versatility, originality, and a pragmatic approach to research. - Academic publications and/or open‑source AI contributions are a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Mathematics, Physics, or related discipline (Master’s or Ph.D. strongly preferred). - No specific certifications required, but a record of continuing learning in ML, NLP, or related fields is valued.

New york, United states

On site

Mid level

10-09-2025

Company Name

Jump Trading Group

Job Title

Quantitative Researcher | Trading team

Job Description

**Job Title:** Quantitative Researcher | Trading Team **Role Summary:** Develop predictive trading models using statistical analysis, machine learning, and large dataset processing to drive profitability in global financial markets. **Expectations:** Collaborate cross-functionally (scientists, traders, developers) to translate research into actionable strategies. Demonstrate reliability and consistent availability. **Key Responsibilities:** Analyze financial market data; identify patterns and market complexities. Design, implement, and refine statistical models for trading. Support innovation through collaboration on technology-driven solutions. **Required Skills:** C++/Python programming (Linux environment); expertise in statistical modeling (regression, time-series analysis). Machine learning (e.g., neural networks, SVM). Data engineering and analysis of large datasets. Development in Python/R/MATLAB. Proven ability to develop profitable trading strategies. **Required Education & Certifications:** Master’s or PhD in Statistics, Mathematics, Physics, or related field. Demonstrated research record in quantitative methods.

London, United kingdom

On site

12-09-2025

Company Name

Jump Trading Group

Job Title

HR Business Partner

Job Description

London, United kingdom

On site

Senior

02-10-2025

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