Risk Developer - Hedge Fund - £400K TC

Saragossa; Greater London; On-site; GBP 360,000 - 440,000; Full time

Job summary

Saragossa in London is seeking a Risk Developer to build the tools used by risk managers, analysts and portfolio managers. You’ll join a fast-moving team with no intermediaries, own the implementation, and influence how the function evolves.

The work spans portfolio analytics, distributed systems and AI, with some initiatives under NDA. Expect a hands-on role where Python and large datasets are central, and where a pragmatic, engineering-driven approach matters more than any specific finance

Qualifications

• Experience with Python and large or complex datasets.
• Ability to work directly with risk managers, analysts and portfolio managers without intermediaries.

Responsibilities

• Build the tools used by risk managers, analysts and portfolio managers.
• Contribute to portfolio analytics and AI initiatives within a fast-moving hedge fund team.
• Shape how risk capabilities are implemented and evolve within the business.

Skills

Python

Distributed systems

Data engineering

Risk analytics

Job description

You'll sit with the people who actually use what you build.

This is a Risk Developer role at a leading hedge fund with serious ambition to grow their AUM, and the setup is straightforward. You work directly alongside risk managers, analysts and portfolio managers. You build the tools they rely on. You have a real say in how the function develops. No business analysts sitting between you and the work. No project managers adding layers. Just you, the team, and the problem.

The work itself spans portfolio analytics, distributed systems and AI. Several of the AI initiatives are currently under NDA, which tells you something about where the team is heading. You would be joining at an early stage of that work, helping to shape how these capabilities get built into risk and across the wider business. That kind of timing matters.

One of the things that makes this place different is the pace. There is no red tape here. New tools can go from idea to implementation in days or weeks, not quarters. When you build something, it gets used.

The team is tech agnostic. They care about strong engineering, not a specific background so you could be a quant dev, data engineer, or software engineer more broadly. Finance experience is also not a requirement. That said, Python and experience working with large or complex datasets will be particularly relevant to the work you would be doing day to day.

The compensation reflects all of this. £400K total comp puts you at the top end of the market, and the package is structured to match.

Ready to build something that actually matters?