Quantitative Analyst

Role Overview

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