Description

You will design and develop scalable software solutions for acquiring, analyzing, and cleansing time series data, primarily within financial market risk contexts. You will lead engineering efforts in daily support and project-based development of risk management systems.

Responsibilities

• Design and develop software for acquiring, analyzing, and cleansing time series data.
• 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

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

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate