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Eqvilent logo
Eqvilent

Quantitative trading

Analyst

AnalystAnalystOtherRemoteTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

100 days ago

Salary

0

No structured requirement data.

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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