Data Engineer

WorldQuant

New Delhi, India
On-site
Structured and unstructured large-scale data
Quantitative analysis and financial engineering
Deep learning and machine learning applications
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

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

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.

Skills & Requirements

Must-have

  • structured and unstructured large-scale data
  • quantitative analysis and financial engineering
  • deep learning and machine learning applications
  • Python data science pipelines
  • Python-based tools like Jupyter notebook
  • software development skills

Nice-to-have

  • domain expert on deep learning
  • LLM/AI for data processing
  • deep curiosity and passion to learn
  • data scientist or data engineer in finance

Key Requirements

  • Bachelor's degree in a technical or quantitative field
  • Practical experience with deep neural networks
  • 3+ years of relevant experience
  • Proficiency with pep8 coding standards
  • Good command of English

Work Rights

Not specified

Tailored Resume

Cover Letter