Data Engineer
WorldQuant(11 days ago)
About this role
WorldQuant focuses on developing data-driven financial strategies and emphasizes a collaborative, research-oriented culture that values intellectual talent and continuous improvement. The company seeks individuals who can contribute to their innovative projects in a dynamic environment.
Required Skills
- Python
- MLops
- Kubernetes
- Data Pipelines
- Large Language Models
- Machine Learning
- Statistics
- Data Management
- Deployment
- Monitoring
About WorldQuant
worldquant.comWorldQuant is a global quantitative asset management firm founded in 2007 by Igor Tulchinsky. The company builds systematic, data-driven investment strategies and trading models powered by proprietary technology, machine learning, and large-scale data. It operates a worldwide research network—partnering with in-house and external researchers—to discover predictive signals and scale portfolio strategies. WorldQuant emphasizes innovation in quantitative research, technology, and collaboration to deliver investment solutions.
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