Senior Software Engineer

Hayfin Capital Management; London; On-site; NOK 1,269,000 - 2,283,000; Full time

Job summary

Hayfin Capital Management in London is seeking a senior Full-Stack Engineer to own the analytics workbench, building frontend in Angular and backend in Python (FastAPI). You will shape data-driven workflows for decision making and coordinate with a small offshore team.

You bring 8+ years delivering enterprise software, strong Python with pandas and NumPy, API design with FastAPI, Angular and modern UI libraries, plus experience hosting on Azure and Snowflake.

Qualifications

• 8+ years building and managing enterprise-grade software.
• 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 experience using AI coding assistants as part of a development workflow.
• Clear communicator, comfortable with non-technical stakeholders.
• Financial services experience is a plus, in asset management or fintech.

Responsibilities

• Build and maintain the analytics workflow app, using Angular on the front end and Python (FastAPI) on the back end.
• Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data securely.
• Coordinate 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 improve how the team builds, tests, and ships software.
• Work directly with the Director of Portfolio Analytics and business stakeholders, translating requirements into working software.

Skills

Python

Pandas

NumPy

FastAPI

Angular

UI libraries

Azure

Snowflake

AI coding assistants

Communication

Tools

Azure

Snowflake

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.