As an LLM Data Engineer, you will transform unstructured text into actionable insights for quantitative investment strategies by designing, building, and scaling data pipelines
Job Summary
As an LLM Data Engineer, you will transform unstructured text into actionable insights for quantitative investment strategies by designing, building, and scaling data pipelines.
You will join a highly technical, collaborative environment working closely with Research, where your ideas can quickly translate into impact at scale.
WorldQuant offers a competitive compensation package, a strong culture of learning and development, premium health insurance, and generous time-off policies.
Matching Summary
As an LLM Data Engineer, you will transform unstructured text into actionable insights for quantitative investment strategies by designing, building, and scaling data pipelines.
Skills & Requirements
Must-have
Scalable and robust data pipelines
Machine learning training, inference, evaluation
LLM technologies and agentic systems
Excellent Python coding skills
pandas / polars / duckdb familiarity
Nice-to-have
Collaborative team-oriented culture
Proactive problem-solving approach
Intellectual horsepower and outstanding talent
Continuous improvement attitude
Key Requirements
Degree in quantitative or technical discipline
Basic probability and statistical theory knowledge
At least 2 years' data pipeline experience
Deep understanding of machine learning
Experience with LLM technologies
Excellent Python coding skills
Strong analytical skills and attention to detail
Excellent verbal and written communication skills
Ability to operate in a collaborative culture
Proactive and mature approach to problem-solving
Kubernetes (k8s) deployment experience preferred
Monitoring and alerting tools experience preferred
Infrastructure management and ML Ops familiarity preferred