Analyst (with Python)

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Proficiency in Python with clean, readable code., Solid knowledge of Pandas and NumPy., Strong analytical and problem-solving skills., Background in STEM fields is a plus..

Key responsibilities:

  • Discover, validate, and clean datasets for research and production.
  • Monitor production systems and analyze logs for correctness.
  • Support ad-hoc research and exploratory analysis tasks.
  • Build internal utilities and automation tools using Python.

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Eqvilent Financial Services Scaleup https://eqvilent.com/
51 - 200 Employees
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Job description

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.

Required profile

Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Skills
  • Detail Oriented
  • Problem Solving

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