The Data Engineer will partner with a team of 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 a team of 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 into datasets for quantitative analysis, enhancing data quality and integrity, becoming a domain expert in deep learning and machine learning applications, and developing utility tools to automate workflows.
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 a team of 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
quantitative analysis
financial engineering
data validation tools
deep learning and machine learning applications
Python
Python-based tools
software development skills
Nice-to-have
domain expert
intellectual horsepower
continuous improvement
deep curiosity and passion to learn
LLM/AI for data processing
finance or investment profile experience
Key Requirements
Bachelor's degree in a technical or quantitative field
Practical experience with deep neural networks and machine learning
Implement data science pipelines and real-time applications in Python