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