The Data Engineer will partner with quantitative researchers, technologists, and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data
Job Summary
The Data Engineer will partner with quantitative researchers, technologists, and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.
Responsibilities include enriching data, enhancing data quality and integrity, becoming a domain expert on deep learning and machine learning applications, developing insights, and creating utility tools.
WorldQuant offers a competitive compensation package, a strong culture of learning and development, premium health insurance, generous time-off, and various team-building activities.
Matching Summary
The Data Engineer will partner with quantitative researchers, technologists, and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.
Skills & Requirements
Must-have
structured and unstructured large-scale data
data quality & integrity
deep learning and machine learning applications
Python data science pipelines
Python-based tools
analytical & problem-solving abilities
Nice-to-have
domain expert on deep learning
LLM/AI for data processing
convert use-cases to codebase
deep curiosity and passion to learn
finance or investment profile experience
Linux/Unix shell and Git
Key Requirements
Bachelor's degree in a technical or quantitative field