Quant Developer, Data Scientist, R/Python Developer, German speaking
Job Description:
• Act as R expert and tech lead to support the migration of the R-Framework, including all packages, interfaces, and dependencies, ensuring a smooth transition with minimal disruption to business operations.
• Drive the reconciliation of large datasets, such as market data, between different Apps, ensuring the highest standards of data quality, integrity, and accuracy throughout the migration process.
• Lead the adaptation of the R-Framework to fully leverage the new REST API and JSON structures, enhancing integration, functionality, and performance
• Support with the Risk department to streamline and optimize their development and deployment pipelines, ensuring seamless code management and deployment from Git repositories to client Applications for improved efficiency and agility.
• Guide and advise the Risk department on adopting best practices for R development in the cloud, while leveraging the Risk R-framework to achieve state-of-the-art code quality and performance.
Requirements:
• Experience as Quant Developer and Data Scientist.
• Development experience in Python, R, relational databases and cloud environment.
• Experience with CI/CD using Git and Github actions and Azure DevOps.
• Experience with Linux and Docker
• Experience with managing, processing, reconciling and testing large data sets
Benefits:
• Flexible work arrangements
• Professional development
• Act as R expert and tech lead to support the migration of the R-Framework, including all packages, interfaces, and dependencies, ensuring a smooth transition with minimal disruption to business operations.
• Drive the reconciliation of large datasets, such as market data, between different Apps, ensuring the highest standards of data quality, integrity, and accuracy throughout the migration process.
• Lead the adaptation of the R-Framework to fully leverage the new REST API and JSON structures, enhancing integration, functionality, and performance
• Support with the Risk department to streamline and optimize their development and deployment pipelines, ensuring seamless code management and deployment from Git repositories to client Applications for improved efficiency and agility.
• Guide and advise the Risk department on adopting best practices for R development in the cloud, while leveraging the Risk R-framework to achieve state-of-the-art code quality and performance.
Requirements:
• Experience as Quant Developer and Data Scientist.
• Development experience in Python, R, relational databases and cloud environment.
• Experience with CI/CD using Git and Github actions and Azure DevOps.
• Experience with Linux and Docker
• Experience with managing, processing, reconciling and testing large data sets
Benefits:
• Flexible work arrangements
• Professional development