Quantitative Analyst (Denmark)

Job summary

This role focuses on quantitative research, data engineering, and analytical problem-solving in a dynamic research setting. Responsibilities include ensuring high-quality datasets, building internal tools, and enhancing research workflows through collaboration with quantitative researchers.

Qualifications

• Highly analytical and detail-oriented with experience in handling large datasets using Python.
• Strong proficiency in Python, particularly with clean and maintainable code.
• Solid experience with data manipulation and analysis using Pandas and NumPy.
• Excellent attention to detail and adherence to code quality standards.
• Strong analytical thinking and structured problem-solving skills.
• Willingness to explore complex technical systems and workflows.
• No prior experience in finance or quantitative trading is necessary.
• A background in STEM fields such as Mathematics, Computer Science, or Engineering is advantageous.

Responsibilities

Benefits

• Validate, clean, and maintain datasets for research and production.
• Monitor production systems, analyze logs, and investigate inconsistencies.
• Support ad-hoc research requests and conduct exploratory data analysis as needed.
• Design and develop internal tools, scripts, and automation utilities using Python.
• Collaborate with quantitative researchers and engineers to enhance research infrastructure and operational efficiency.
• Flexible working arrangements with corporate hardware provided.
• Access to a private research computing cluster.
• Regular team gatherings and in-person events.
• Exposure to advanced technologies and large-scale data challenges.
• Opportunity to work closely with experienced quantitative researchers and engineers.