This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Quantitative Analyst in Estonia.

This role sits at the intersection of quantitative research, data engineering, and analytical problem-solving within a fast-paced research environment. You will support quantitative researchers by ensuring high-quality datasets, building internal tools, and improving research workflows. The work involves deep interaction with production systems, requiring strong attention to detail and a structured approach to complex data challenges. You will contribute to the reliability and efficiency of research operations by validating data, monitoring systems, and investigating anomalies. The environment is highly technical, collaborative, and focused on continuous improvement of data-driven decision-making. This is an excellent opportunity for someone who enjoys Python-centric work and wants to contribute to real-world quantitative research without being directly involved in trading or portfolio management.

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

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

• 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