Maximilian Branting

• Served as Model Developer and Manager for a regulatory liquidity model covering approximately $160 billion in client balances. Responsibilities included implementing code changes, running parameter simulations, maintaining technical documentation, and supporting model methodology analysis and monitoring.
• Collaborated with independent validation, model risk governance, and data engineering teams throughout the model lifecycle. Streamlined business-as-usual processes through automation.
• Developed standalone executable applications with graphical user interfaces (Python, PyInstaller) to support internal business processes, such as tracking employee lifecycle events and automating data updates.
• Led the development of an Economic Value of Equity (EVE) calculator alongside two junior team members, enabling self-service calculations for multiple stakeholders and reducing team dependency for routine analysis.

• Analyzed large time series datasets using Python and SQL to identify trends and insights.
• Optimized model codes in python reducing runtimes between 40 and 99%
• Developed data extraction pipelines to support predictive analytics and improve decision-making processes.
• Supported team members with efficient resolution of programming-related problems across multiple languages (Python, R, SQL).

Assisted Lead Data Scientist in developing analytics solutions:
• Designed and implemented an open-source Python-based OCR tool to process customer PDF forms, collaborating with IT and business stakeholders to define requirements.
• Developed BERT-based sentiment and topic classification models for analyzing customer satisfaction feedback using AWS SageMaker. Results were visualized through interactive Tableau dashboards.

• Analyzed problems and worked with teams to develop solutions.