Quantitative Developer - as close to the business as it gets

Saragossa; Greater London; On-site; GBP 100,000 - 180,000; Full time

Job summary

Saragossa is seeking a quant developer or front-office engineer to join a lean, tech-driven team for high-performing systematic equity trading. You will build and scale alpha algorithms, refine portfolio construction, and push research into production to improve signal flow across risk, sizing and execution on global equity books.

We value strong programming capability paired with solid mathematical methods and the ability to operate in a live trading environment.

Qualifications

• Strong programming capability in relevant languages (e.g., Python, C++).
• Solid mathematical methods relevant to quantitative trading and risk.
• Experience working in a live trading environment is a plus.
• Interest in equity markets and systematic trading strategies.

Responsibilities

• Build and scale alpha algorithms for equity trading.
• Refine portfolio construction and optimisation frameworks.
• Implement research ideas into production systems.
• Improve how signals flow through risk, sizing and execution.

Skills

Programming

Mathematics

Live trading

Alpha algorithms

Portfolio construction

Job description

Want to join one of the most consistently high-performing Equity funds?

The environment is lean, tech-driven and built around systematic trading.

You’ll sit at the centre of this, building and scaling alpha algorithms, refining portfolio construction and optimisation frameworks, implementing research into production, and improving how signals flow through risk, sizing and execution across global equity books.

Current projects include enhancing the portfolio construction stack, strengthening backtesting and simulation architecture, and improving the robustness of live trading systems handling equity datasets.

Background wise, things are open. You might be a quant developer or an engineer working in the front office - but you’ll need strong programming capability paired with solid mathematical methods and the ability to work in a live trading environment.

If you want to operate closer to the core of a high-performing systematic team, this is that move.