Quantitative Analyst

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.