Research Engineer: Quantitative Forecasting & Data Platforms

Selby Jennings; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Selby Jennings in New York seeks a Research Engineer to help build the next generation of research and forecasting capabilities for a systematic commodities investing team.

This role partners with portfolio managers, quantitative researchers, and data scientists to develop scalable research infrastructure, onboard new datasets, improve forecasting workflows, and accelerate the research lifecycle from idea generation to production deployment.

Qualifications

• Experience in software engineering, quantitative research or data science.
• Ability to work with large datasets and ML workflows.
• Collaborative environment with researchers and portfolio managers.

Responsibilities

• Develop scalable research infrastructure for forecasting and experimentation.
• Onboard and validate new datasets for research use.
• Improve forecasting workflows and data pipelines from idea to production.
• Implement tooling to accelerate the research lifecycle.

Skills

Software engineering

Quantitative problem solving

Machine learning

Forecasting

Data-intensive systems

Job description

Selby Jennings in New York seeks a Research Engineer to help build the next generation of research and forecasting capabilities for a systematic commodities investing team.

This role partners with portfolio managers, quantitative researchers, and data scientists to develop scalable research infrastructure, onboard new datasets, improve forecasting workflows, and accelerate the research lifecycle from idea generation to production deployment.