Quantitative Analyst
ExternalFull-timeRemote3w ago
NumPyPandasPython
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Responsibilities
- Discover, validate, and clean datasets for research and production
- Monitor production systems and analyze logs to ensure correctness
- Support ad-hoc research and exploratory analysis tasks
- Build internal utilities and automation tools using Python
- Collaborate with quants and engineers to enhance research operations
Requirements
- Proficiency in Python with clean, readable code
- Solid knowledge of Pandas and NumPy
- High attention to detail, accuracy, and code quality
- Strong analytical and problem-solving skills
- Willingness to dive deep into complex systems and workflows
- No prior finance experience required
- Experience working in data-rich or research-driven environments
- Background in STEM fields (Math, CS, Engineering, etc.)
Benefits
Remote-first culture with flexible location optionsCorporate hardware and access to a private research compute clusterRegular in-person team events and retreatsExposure to advanced technology and real-world data challengesIf you're interested in the role, we'd love to hear from you - and we kindly ask you to include a cover letter sharing why this role caught your attention and why you think you'd be a great fit.Remote work optionsFlexible schedule
Additional Information
Role Overview We are seeking a highly attentive and technically proficient Analyst with strong Python skills to join our team. This is a support role for our Quantitative Researchers, focusing on data quality, tool development, and research assistance. It's ideal for individuals who prefer a stable and well-structured workflow while working on intellectually engaging tasks.
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Company Intel
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