Senior Software Engineer

1 week ago

London, England, United Kingdom Hayfin Capital Management LLP Full-time
We are hiring a Full-Stack Engineer to help build the analytics platform that powers reporting and decision-making across our business. Hayfin is a global alternative asset manager with deep expertise in credit and a broad alternatives platform, partnering with institutional investors worldwide. Reporting directly to the Director of Portfolio Analytics, you will take ownership of a growing in-house app
- working across the full stack, shaping how the business uses data, and coordinating with a small offshore vendor team to keep delivery on track. It's a hands-on role for someone with a strong track record shipping enterprise software, who wants to bring that experience to a small, fast-moving team that's actively rethinking how it builds, using AI as part of the day-to-day workflow.

What You'll Do
Build and maintain the analytics workflow app, using Angular on the front end and Python (FastAPI) on the back end, writing clean, well-tested code that's easy to support and extend Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely Coordinate an offshore vendor team: setting priorities, assigning work, reviewing output, and tracking hours and spend Use AI coding assistants as part of daily development work, and look for ways to improve how the team builds, tests, and ships software Work directly with the Director of Portfolio Analytics and business stakeholders, turning requirements into working software and explaining technical choices in plain language Requirements 8+ years building and managing enterprise-grade software, including experience working across offshore/onshore vendor teams 8+ years with Python, including pandas and NumPy; 5+ years building APIs with FastAPI; 5+ years with Angular and UI libraries such as Material or Bootstrap Experience hosting and managing applications on Azure, and building solutions on Snowflake Hands-on, day-to-day experience using AI coding assistants as part of a development workflow A clear communicator, comfortable working directly with non-technical stakeholders Financial services experience (asset management, banking, or fintech) is a plus, as is experience in a small, fast-moving analytics or engineering team