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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