Your tasks
* Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation
* Asset Accumulation & Retirement Planning: Company pension system & employee savings plan
* Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access
* Health: Comprehensive company doctor services, Urban Sports cooperation
* Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours
* Other: Daily free lunch in our cafeteria, Free hot drinks & water, "Deutschland Ticket Job" subsidy, Events, Underground parking garage with e-charging infrastructure & much more!
*Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points.
MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees. Regardless of gender. So if we use the masculine form of personal designations, this is purely for the sake of readability. Applicants with disabilities will be given preferential consideration if they are otherwise essentially equally qualified.
Your profile
* Master’s degree or PhD in computer science, data science, statistics, or a related field (e.g. Mathematics, Physics, Engineering, or Finance)
* Strong programming skills in Python (must-have) with focus on clean, testable, production quality code; experience in SQL, R, or C++ is a plus
* Experience with Databricks and Apache Spark, Azure DevOps, and Git or similar applications
* Familiarity with PowerBI, MS Excel, dashboarding tools and machine learning libraries in Python (e.g., PyTorch, Scikit-learn)
* Structured thinking and problem-solving skills with hands-on and solution-oriented mindset
* Deep understanding of time series and cross-sectional data structures
* High level of accountability and ownership especially for code quality, data structure, and workflow design
* Solid understanding of capital markets and financial instruments ideally in the context of asset management supplemented by understanding of machine learning and probability theory
* Proficiency in time series analysis, portfolio analytics, and risk metrics
* Strong communication skills and ability to translate quant ideas into business impact
* Business proficiency in English (C1), German is a plus