Description

You will design and develop scalable software solutions for acquiring, analyzing, and cleansing time series data. You will lead engineers in the daily support and project-based development of risk management systems while mentoring junior staff on code quality and testing standards.

Responsibilities

• Design and develop software for acquiring, analyzing, and cleansing time series data.
• Enhance existing systems to improve performance and integrate new technologies for time series and metadata access.
• Implement algorithms for time series analysis, trend detection, and anomaly detection.
• Lead engineers in daily support and project-based development of risk management systems.
• Mentor junior engineers and uphold standards in code quality, testing, and maintainability.

Required Skills

• 10+ years of IT experience with 5+ years in financial projects, preferably Market Risk.
• Expertise in Python and C# or Java with automated testing.
• Strong SQL and database programming skills, preferably MS SQL Server.
• Hands-on experience with ETL/ELT and Data Warehouse concepts and tools.
• Functional expertise in time series management, including fitting curves and vol surfaces.
• Proficiency with Git, Jira, Confluence, Jenkins, and DevOps tools.
• Strong testing and troubleshooting capabilities.

Preferred Skills

• Experience with Databricks Delta Lake, Delta Live Tables, PySpark, or Snowflake.
• Experience with Xenomorph Timescape EDM+ or other vendor time series products.
• Hands-on experience with SSIS.

Key Skills

Education

ANY GRADUATE