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WorldQuant is seeking a Data Engineer in New Delhi to enhance and analyze large-scale structured and unstructured data for financial strategies. The ideal candidate should possess a strong technical background in data engineering and machine learning, along with a passion for continuous improvement and collaboration.
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Job Summary
The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.
Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
Developing the utility tools that can further automate the software development, testing and deployment workflow.
Matching Summary
Match Score: 75
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WorldQuant is seeking a Data Engineer in New Delhi to enhance and analyze large-scale structured and unstructured data for financial strategies. The ideal candidate should possess a strong technical background in data engineering and machine learning, along with a passion for continuous improvement and collaboration.
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Skills & Requirements
Must-have
structured and unstructured large-scale data
data quality & integrity
deep learning and machine learning applications
Python-based tools
software development skills
Nice-to-have
domain expert on deep learning
deep curiosity and passion to learn
finance or investment profile experience
LLM/AI for data processing
Key Requirements
Bachelor's degree in a technical or quantitative field
Practical experience with deep neural networks and machine learning