Machine Learning Engineer
WorldQuant(2 years ago)
About this role
A Machine Learning Engineer at WorldQuant is a technical role supporting the firm’s quantitative research and forecasting platform within an academically driven, results-oriented culture. The position sits on the technologists team and requires close collaboration with researchers and portfolio managers. WorldQuant seeks candidates with advanced degrees and strong quantitative and technical backgrounds.
Required Skills
- Machine Learning
- Data Pipelines
- Distributed Systems
- Python
- C++
- Linux
- Statistics
- Optimization
- CI/CD
- Communication
+1 more
Qualifications
- M.Sc. in Computer Science or related
- Ph.D. in Computer Science or related
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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