Senior Associate Software Engineer- Python

About Us

Are you ready to shape the future of financial control technology? At VCGTech, you’ll collaborate with talented engineers to deliver impactful solutions that drive transparency and trust in global markets. You’ll have the opportunity to grow your skills, work with cutting-edge technology, and make a real difference in how we value and manage risk. Join a team where your ideas matter and your contributions are valued.

As a Python Software Engineer in the VCGTech team, you will design and deliver robust financial control systems that support our mission-critical Independent Revaluation Infrastructure System (IRIS). You’ll work closely with asset class and platform teams to build scalable, secure, and innovative solutions. You will help ensure the accuracy and integrity of our balance sheet, collaborating with experts across technology and finance.

Your work will directly impact how we manage valuation, risk, and regulatory compliance.

• Design and develop Python applications within a large mono-repo using proprietary workflows
• Implement independent price verification and valuation adjustment workflows across asset classes
• Develop consensus pricing solutions integrating with external market data providers
• Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines
• Write and maintain comprehensive unit, baseline, and parameterized tests
• Investigate and remediate security vulnerabilities; support audit remediation efforts
• Operate with a dry-run-first, confirm-before-modify, audit-everything approach on production systems
• Design and maintain AI developer tooling, including prompt engineering and LLM-assisted code generation

• Proficiency in Python, object oriented programming, context managers, generators, and functional programming pattern
• Experience with test-driven or test-heavy development, including unit, integration, and regression testing
• Understanding of security best practices, including input validation and vulnerability remediation
• Experience with agentic AI and prompt engineering, including LLM-based code development

• Background in financial services, derivatives pricing, market data, or valuation concepts
• Experience with distributed compute or job scheduling systems
• Knowledge of reactive or event-driven programming