Quantitative Analyst – Python‑focused Data Research

About the role

This position supports quantitative researchers by delivering high‑quality data, building internal tools, and streamlining research workflows. You will work in a fast‑paced, technically demanding environment where Python is the primary language.

Key responsibilities

• Discover, validate, clean, and maintain datasets used in research and production.
• Monitor production systems, analyse logs and investigate data or system inconsistencies.
• Support ad‑hoc research requests and perform exploratory data analysis.
• Design and build internal tools, scripts and automation utilities using Python.
• Collaborate with quantitative researchers and engineers to improve research infrastructure and operational efficiency.

Required profile

• Highly analytical and detail‑oriented with strong problem‑solving abilities.
• Comfortable working with large, complex datasets.
• Curious about technical systems and willing to dive deep into workflows.
• Background in STEM fields (Mathematics, Computer Science, Engineering) is a plus.

Required skills

• Proficiency in Python with clean, maintainable code.
• Experience using Pandas for data manipulation.
• Experience using NumPy for numerical analysis.

What we offer

• Remote‑first setup with flexible working arrangements.
• Corporate hardware and access to a private research computing cluster.
• Regular team gatherings, in‑person events and retreats.
• Exposure to advanced technologies and high‑scale data challenges.
• Opportunity to work closely with experienced quantitative researchers and engineers.