Analyst (with Python)

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. Originally posted on Himalayas