Financial Data Engineer / Software Developer for Quantitative Strategies | Financial Data Engineer / Software Developer for our Quantitative Strategies Team (m|f|d)
MEAG AssetMgt. GmbH
Job Summary
This role is for a talented Financial Data Engineer and Software Developer to join the Central Quant Team, focusing on shaping and maintaining the Public Markets Analytical Data Platform. The professional will operate at the intersection of portfolio management, data engineering, and IT, driving innovation and automation to support the investment process. Key responsibilities include developing and maintaining analytical tools, data pipelines, and workflows, designing robust data models for various data types (APIs, JSON, CSVs), and supporting portfolio managers with prototyping and visualization. The ideal candidate must possess strong Python programming skills, experience with modern data platforms like Databricks and Apache Spark, and a solid understanding of capital markets and financial instruments. This position requires high accountability for code quality and data structure, strong communication skills, and business proficiency in English to translate quantitative ideas into tangible business impact.
Required Skills
Education
Master’s degree or PhD in computer science, data science, statistics, or a related field (e.g., Mathematics, Physics, Engineering, or Finance)
Experience
- Professional experience in developing and maintaining analytical tools and data pipelines
- Experience with Databricks and Apache Spark, Azure DevOps, and Git or similar applications
- Deep understanding of time series and cross-sectional data structures
- Solid understanding of capital markets and financial instruments, ideally in asset management context
- Proficiency in time series analysis, portfolio analytics, and risk metrics
Languages
Additional
- Not specified
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