Risk Analytics & Systems Engineering - (m,w,d) 60-100%/Hybrid
Project: We are seeking an experienced Risk Data Migration Engineer to join the Risk department, contributing to the migration of legacy systems by building a new, proprietary code base. This role reports directly to the Head of Risk Data & Analytics.
Tasks:
• Support the migration and replacement of legacy code base and data structures with a new, proprietary code base in T-SQL and Python.
• Replace existing legacy interfaces with a new interface using a REST API using Python in combination with T-SQL.
• Develop and extend a new and proprietary SQL schema with tables, indexes, views and stored procedures in a Risk-owned MS SQL Server 2022 for market data and Risk data.
• Structure and organize your tasks in Azure DevOps to share this with Risk colleagues.
• Liaise with colleagues in the Risk department with respect to business requirements on models, data and functionality.
• Work closely with colleagues in IT delivering two larger projects and provide them with Risk requirements about data, formats and processes.
Requirements:
• Extensive experience in T-SQL, Python, R, MS SQL Server and Azure DevOps is required.
• Experience with C#, .NET and Databricks is desirable.
• Experience with migration of data, interfaces and code is desirable.
• Experience in Risk Management, Energy Trading or Banking is desirable, especially in the area of market data.
• Willingness and curiosity to extend knowledge and skills across risk management and the above languages, technologies, cloud environments, software tools are expected.
• Willingness to adapt and focus in a highly flexible and dynamic environment with an emphasis on time-to-market and data quality is expected.
• Analytical, structured and innovative approach on operational tasks as well as software design, development and deployment is expected.
• Highly motivated, self-driven and self-organized is essential.
• You are fluent in English, fluency in German is of advantage.
Reference Nr: 923807KS
Role: Risk Analytics & Systems Engineering (all)
Location: Baden and Region (Hybrid, 4-8 days per month in office)
Workload: 60 -100 %
Start: January or February 2025
End: 6 - 12 months (plus possible extension)
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