Quantitative Developer

Key Responsibilities:

• Develop and maintain robust Python-based solutions for machine learning, econometrics, and data modeling.
• Work in a containerized cloud environment (Docker, Kubernetes) to ship software and optimize deployment pipelines.
• Collaborate with cross-functional teams in both the US and Vienna to deliver high-quality code.
• Design and implement complex models using frameworks such as Numpy, Pandas, and PyTorch.
• Participate in code reviews, testing, and quality assurance to ensure the functionality and reliability of the system.
• Continuously improve existing codebase and algorithms while applying best practices in software development.
• Contribute to the design and deployment of machine learning models and related infrastructure.
• Handle complex computational tasks in high-dimensional domains and contribute to scaling solutions.