Quantitative Analyst

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

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.