Risk Analytics
vor 1 Monat
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 in 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, and 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 to 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 an advantage.
ReferenceNr: 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)
Job Type: Contract
Work Location: In person
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