Description


Job Responsibilities:

Design and develop robust, scalable software solutions for acquiring, analyzing, and cleansing time series data.
Enhance existing systems to improve performance, add functionalities, and integrate new technologies.
Implement algorithms for time series analysis, trend detection, and anomaly detection.
Implement best practices in software development, including DevOps.
Collaborate with cross-functional teams to align system development.
Uphold and advocate for high standards in code quality, testing, and maintainability.


Required Qualifications

Overall 10+ years of experience in IT is required.
5+ years of experience working in financial projects.
Expertise in Python and C# or Java with automated testing
Strong experience in SQL and database programming (preferably MS SQL Server)
Good understanding of ETL/ELT and DWH concepts
Hands on experience using ETL/ELT tools.
Experience with Git, Jira, Confluence, Jenkins, and other DevOps tools
Functional expertise in time series management including fitting curves and volatility surfaces.

Desired Qualifications

Experience in Market risk is preferred.
Experience with Databricks Delta lake, Delta live tables, PySpark, and Snowflake
Experience with Xenomorph Timescape EDM+ or other vendor time series management products
Hands-on experience with SSIS

Key Skills
Education

Any graduate

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