Analyst

Summary

Join our team as a highly attentive and technically proficient Analyst with strong Python skills. This support role assists Quantitative Researchers, focusing on data quality, tool development, and research assistance. It offers a stable, well-structured workflow with intellectually engaging tasks. Key responsibilities include data cleaning, production system monitoring, supporting research analysis, building Python tools, and collaborating with researchers and engineers. No prior finance experience is required, but a STEM background is preferred. We offer a remote-first culture with flexible location, corporate hardware, team events, relocation opportunities, and exposure to advanced technology.

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

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

Preferred Qualifications

• Experience working in data-rich or research-driven environments
• Background in STEM fields (Math, CS, Engineering, etc.)

Benefits

• 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