As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies
Job Summary
As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies.
This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research.
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events.
Matching Summary
As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies.
Skills & Requirements
Must-have
Python programming
Data pipeline development
ML inference pipelines
LLM for structured data extraction
Linux environments
Nice-to-have
Academic sensibility with accountability
Intellectual horsepower first
Continuous improvement attitude
Financial services industry experience
Workflow scheduling techniques
Key Requirements
BSc/M.Sc. in Computer Science or related
5 years of Python programming experience
Experience building or maintaining data pipelines
Basic probability and statistical theory knowledge
Experience with ML inference pipelines
Experience with LLM for structured data extraction