Senior Software Engineer

Hayfin-Capital-Management; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Hayfin-Capital-Management seeks a seasoned Full-Stack Engineer to own and evolve the analytics workbench used for cross-team decision making. You’ll work across the full stack (Angular frontend, Python FastAPI backend) and coordinate with an offshore vendor team to keep delivery on track.

This hands-on role targets teams shipping enterprise software with AI-enhanced workflows. You’ll collaborate with the Director of Portfolio Analytics and business stakeholders, turning requirements into working

Qualifications

• 8+ years building and managing enterprise-grade software.
• 5+ years building APIs with FastAPI; 5+ years with Angular and UI libraries.
• Experience hosting and managing applications on Azure, and building solutions on Snowflake.
• Hands-on experience using AI coding assistants in daily work.
• Clear communicator when explaining technical choices to non-technical stakeholders.
• Financial services experience is a plus.

Responsibilities

• Build and maintain the analytics workflow app with Angular frontend and Python FastAPI backend.
• Develop data pipelines and models using pandas and NumPy; work with Snowflake and Azure.
• Coordinate offshore vendor team: set priorities, assign work, review output, track hours and spend.
• Apply AI coding assistants to improve development, testing, and shipping of software.
• Collaborate with the Director of Portfolio Analytics and stakeholders to translate requirements into software.

Skills

Vendor management

Stakeholder communication

Cross-functional collaboration

AI-assisted development

Tools

Angular

FastAPI

Python

Pandas

NumPy

Azure

Snowflake

Material UI

Bootstrap

Job description

We are hiring a Full-Stack Engineer to help build the analytics workbench applications that supports analysis 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 our growing in-house analytics workbench - 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.

• 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.