Analyst (with Python)

TLDR

Work on data quality and tool development in a supportive role for Quantitative Researchers, focusing on intellectually engaging and structured tasks.

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
  • Exposure to advanced technology and real-world data challenges

If 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.

Eqvilent is a dynamic player in the financial technology space, specializing in high-frequency trading through advanced hardware and low-latency systems. With a strong focus on data quality and compliance, we empower organizations to navigate the complexities of the market while pushing the boundaries of technological innovation.

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