Quantitative Analyst (Finance, Copenhagen)

Job summary

Seeking a Quantitative Analyst to enhance quantitative investment signals and data infrastructure supporting portfolio managers and analysts. This role involves hands-on development of production-grade tools for investment professionals.

Qualifications

• Master’s degree or higher in a quantitative field such as finance, mathematics, statistics, physics, or computer science.
• 2–5 years of experience in quantitative modeling, data science, or research, preferably in finance.
• Proficient in Python for data analysis and modeling.
• Familiarity with cloud data platforms like Microsoft Fabric, Azure, or Databricks is advantageous.
• Strong communication skills to convey quantitative insights to non-technical stakeholders.
• Ability to work independently and manage deliverables effectively.
• Fluent in English.

Responsibilities

• Develop and maintain quantitative investment signals for credit screening and risk monitoring.
• Build and manage data pipelines on cloud platforms for automated signal delivery.
• Conduct back testing and validation of quantitative models with thorough documentation.
• Present quantitative findings and tools to portfolio managers and senior stakeholders.

Skills

• Quantitative modeling and data analysis.
• Proficiency in Python.
• Experience with cloud data platforms.
• Strong communication and presentation skills.

Education

• Master’s degree or higher in a quantitative discipline.

Tools

• Python, cloud data platforms (e.g., Microsoft Fabric, Azure, Databricks).