WorldQuant is seeking a Data Engineer to join their team, collaborating with quantitative researchers and technologists to analyze and enrich large-scale data. The ideal candidate will have a strong academic background, experience with deep learning and machine learning techniques, and proficiency in Python.
Requirements
- Bachelor's degree in a technical or quantitative field
- 3+ years of experience as a Data Engineer or similar role
- Practical experience with deep neural networks and other machine learning techniques
- Proficiency with Python-based tools like Jupyter notebook
- Exceptional analytical and problem-solving abilities
- Good command of English
Benefits
- Competitive and attractive compensation package
- Strong culture of learning and development
- Premium Health Insurance and Employee Assistance Program
- Generous time-off policy
- Annual company trip and occasional global conferences
- Happy-hour with tea break, snacks and meals every day