Quant Developer - shape systematic trading

Saragossa; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

A quantitative trading firm is seeking a Quant Developer to shape systematic trading by building scalable Python tools for deploying models. This role offers real ownership in a clean-slate environment, focusing on portfolio optimization and machine learning strategies. Candidates with experience in quantitative finance and strong Python programming skills are encouraged to apply. This is a full-time position based in London, providing an exciting opportunity to enhance trading algorithms directly.

Qualifications

• Experience in quantitative finance or related fields, with a focus on machine learning applications.
• Strong capabilities in Python programming and developing scalable systems.

Responsibilities

• Develop scalable Python tools for deploying models.
• Work on portfolio optimization and monetisation strategies.

Skills

Python

Machine learning

Portfolio optimization

Job description

Quant Developer – shape systematic trading

Direct message the job poster from Saragossa

Principal Consultant at Saragossa - Creating competitive advantage for investment technology organisations | Front office

This quantitative trading firm is backed by experienced founders and strong capital, and they’re now expanding their platform to drive their ML strategies.

You'll work directly with researchers building scalable Python tools to deploy models, working on portfolio optimisation, and driving monetisation across the stack.

It’s a clean-slate environment: no legacy, no silos, and real ownership. If you’re someone who prefers to build the machine itself rather than be a part of it, you’ll have the chance to help define how research becomes alpha.

Location: London, England, United Kingdom

Want to be at the intersection between machine learning and systematic trading? Apply or reach out directly at [e-mail].

No up-to-date CV required.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Finance and Engineering
• Investment Management