Python Developer – Quantitative Systems

What you'll do: Build and maintain Python-based back-office systems that support trade lifecycle management, risk checks, settlements, reconciliations, and post-trade processing Develop reliable data pipelines and database schemas to ensure accurate, timely data flow across trading, risk, and operations systems Create automated reporting, monitoring, and analytics tools to surface anomalies and operational issues early Ensure data integrity and consistency across internal and external data feeds Investigate, debug, and resolve issues in production systems with a focus on correctness and operational resilience Collaborate closely with trading, risk, and engineering teams to translate business workflows into scalable software solutions What were looking for: Strong Python development experience in production environments Solid experience working with relational databases , data modeling, and data integration workflows Comfortable working in Linux environments , including shell scripting for automation and troubleshooting Strong analytical mindset with the ability to trace, diagnose, and fix data or process issues Ability to work effectively in a fast-paced, high-accountability environment Clear communicator, able to explain technical concepts to both technical and non-technical stakeholders Bachelors degree (or higher) in Computer Science, Engineering, or a related field