NLP Data Engineer
WorldQuant(8 days ago)
About this role
WorldQuant is seeking an NLP Data Engineer to develop and maintain complex data pipelines from diverse sources to support quantitative investment strategies. The role involves designing systems that integrate financial data and employ machine learning inference pipelines, collaborating with research and technology teams.
Required Skills
- Python
- Data Pipelines
- Linux
- ML Pipelines
- LLM
- ETL
- Data Extraction
- Probability
- Statistics
- Data Science
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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