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Job Description
Analyst
Eqvilent
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. - 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 Qualifications - 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 Requirements - Experience working in data-rich or research-driven environments - Background in STEM fields (Math, CS, Engineering, etc.) Benefits - Remote-first culture with flexible location options - Corporate hardware and access to a private research compute cluster - Regular in-person team events and retreats - Exposure to advanced technology and real-world data challenges
Job 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 options
- Corporate hardware and access to a private research compute cluster
- Regular in-person team events and retreats
- Exposure to advanced technology and real-world data challenges
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