Quantitative Analyst

Accountabilities

In this role, you will ensure the integrity and usability of research and production data while supporting quantitative teams in their day-to-day needs. You will work closely with researchers and engineers to enhance tooling and streamline workflows.

• Discover, validate, clean, and maintain datasets used in research and production environments


• Monitor production systems, analyze logs, and investigate data or system inconsistencies


• Support ad-hoc research requests and perform exploratory data analysis when needed


• Design and build internal tools, scripts, and automation utilities using Python


• Collaborate with quantitative researchers and engineers to improve research infrastructure and operational efficiency

Requirements
The ideal candidate is highly analytical, detail-oriented, and comfortable working with large and complex datasets using Python. Strong problem-solving skills and curiosity for understanding systems are essential.

• Strong proficiency in Python with a focus on clean, maintainable code


• Solid experience with Pandas and NumPy for data manipulation and analysis


• Excellent attention to detail, accuracy, and code quality standards


• Strong analytical thinking and structured problem-solving abilities


• Ability and willingness to dive deep into complex technical systems and workflows


• No prior experience in finance or quantitative trading is required


• Background in STEM fields such as Mathematics, Computer Science, or Engineering is a plus

Benefits

• Remote-first setup with flexible working arrangements


• Provision of corporate hardware and access to a private research computing cluster


• Regular team gatherings, in-person events, and retreats


• Exposure to advanced technologies and real-world, high-scale data challenges


• Opportunity to work closely with experienced quantitative researchers and engineers

This listing is from ats_lever. View original listing ↗