Description

Design and develop scalable software solutions for acquiring, analyzing, and cleansing time series data, primarily within financial market risk contexts.

Responsibilities

• Lead engineering efforts in daily support and project-based development of 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

• 8+ years of IT experience, including 5+ years in financial projects (preferably 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 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