Description

You will design and develop scalable solutions for acquiring, cleansing, and analyzing time series data within risk management systems.

This role is on-site.

Responsibilities

• Design and implement software solutions for acquiring, analyzing, and cleansing time series data.
• Lead engineering efforts in daily support and project-based development for risk management systems.
• Implement algorithms for time series analysis, trend detection, and anomaly detection.
• Enhance existing systems to improve performance and integrate new technologies for data and metadata access.
• Mentor junior engineers and implement software development best practices including DevOps.

Required Skills

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

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