Analyst (with Python)

6 Hours ago • All levels

Job Summary

Job Description

The Analyst role involves supporting Quantitative Researchers by focusing on data quality, tool development, and research assistance. Key responsibilities include discovering, validating, and cleaning datasets; monitoring production systems; supporting ad-hoc research; building internal utilities with Python; and collaborating with quants and engineers. This role is ideal for individuals who value accuracy, enjoy technical work, and want to contribute to impactful research in a low-stress, intellectually rich environment.
Must have:
  • 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
Good to have:
  • Experience working in data-rich or research-driven environments
  • Background in STEM fields (Math, CS, Engineering, etc.)
Perks:
  • Remote-first culture with flexible location options
  • Corporate hardware and access to a private research compute cluster
  • Regular in-person team events and retreats
  • Opportunity for relocation after one year (if desired)
  • Exposure to advanced technology and real-world data challenges

Job Details

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.

Key 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

Nice to Have

  • Experience working in data-rich or research-driven environments
  • Background in STEM fields (Math, CS, Engineering, etc.)

What We Offer

  • Remote-first culture with flexible location options
  • Corporate hardware and access to a private research compute cluster
  • Regular in-person team events and retreats
  • Opportunity for relocation after one year (if desired)
  • Exposure to advanced technology and real-world data challenges

This is a great opportunity for someone who enjoys technical work, values accuracy, and wants to contribute to impactful research in a low-stress, intellectually rich environment.

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