Financial Data Engineer and Software Developer (Quantitative Strategies) | Financial Data Engineer / Software Developer for our Quantitative Strategies Team (m|f|d)
MEAG AssetMgt. GmbH
Job Summary
This role seeks a talented Financial Data Engineer and Software Developer to join the Central Quant Team, focusing on shaping and maintaining the analytical data platform for Public Markets. The professional will operate at the intersection of portfolio management, data engineering, and IT, driving innovation, automation, and analytical excellence. Key responsibilities include developing and maintaining complex analytical tools, workflows, and data pipelines, standardizing coding practices and data architecture, and designing robust data models for various data types (APIs, JSON, CSVs). The ideal candidate must possess a Master’s or PhD in a quantitative or technical field, strong programming skills, particularly in Python for clean, production-quality code, and familiarity with tools like Databricks, Apache Spark, and Azure DevOps. A solid understanding of capital markets, financial instruments, time series analysis, and risk metrics is essential for translating quantitative ideas into tangible business impact.
Required Skills
Education
Master’s degree or PhD in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, or Finance
Experience
- Professional experience in developing production-quality code using Python
- Experience with analytical data platforms and data pipeline development
- Professional experience utilizing Databricks, Apache Spark, Azure DevOps, and Git or similar applications
- Solid understanding of capital markets and financial instruments, ideally in asset management
- Proficiency in time series analysis, portfolio analytics, and risk metrics
Languages
Additional
- Not specified