Building innovative risk applications and tools involves developing systems for traders, pre-trade checks, analysis, risk management, reports, FIX connectivity, and market data providers.
The team focuses on development and maintenance of various applications requiring considerable experience in Python, good working knowledge of end-user and server-side data processing techniques, software development lifecycle (SDLC), and agile methodologies.
Must have a strong understanding of data quality principles, hands-on experience with Python, at least one year of experience in the trading domain/capital markets, proven experience designing data models using industry best practices, and experience with continuous integration/continuous deployment (CI/CD) tools like GitHub, Azure DevOps, Jenkins, or Bamboo.