Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable Python tools for ML strategies and portfolio optimisation.
- Company: Join a cutting-edge quantitative trading firm with strong backing and a clean-slate environment.
- Benefits: Enjoy real ownership, no legacy systems, and the chance to shape your work.
- Why this job: Be at the forefront of machine learning and systematic trading, making a real impact.
- Qualifications: Passion for coding in Python and an interest in quantitative finance are essential.
- Other info: No up-to-date CV required; reach out directly to apply!
The predicted salary is between 43200 - 72000 £ per year.
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.
Want to be at the intersection between machine learning and systematic trading? Apply or reach out directly at megan@saragossa.io. No up-to-date CV required.
Quant Developer - shape systematic trading employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - shape systematic trading
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and systematic trading. Being able to discuss recent advancements or tools in these areas during your conversations can really set you apart.
✨Tip Number 2
Network with professionals in the quantitative trading space. Attend relevant meetups or webinars where you can connect with researchers and developers, as personal connections can often lead to job opportunities.
✨Tip Number 3
Showcase your coding skills in Python through personal projects or contributions to open-source projects. This hands-on experience will demonstrate your ability to build scalable tools, which is crucial for this role.
✨Tip Number 4
Prepare to discuss how you would approach portfolio optimisation and monetisation strategies. Having a clear understanding of these concepts and being able to articulate your ideas will impress the hiring team.
We think you need these skills to ace Quant Developer - shape systematic trading
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Quant Developer position. Understand the key responsibilities, such as building scalable Python tools and working on portfolio optimisation, to tailor your application accordingly.
Highlight Relevant Skills: In your application, emphasise your experience with Python and any machine learning projects you've worked on. Mention specific tools or frameworks you are familiar with that relate to systematic trading and model deployment.
Showcase Ownership and Initiative: Since the role offers real ownership in a clean-slate environment, illustrate instances where you've taken initiative in previous projects. This could be through developing new tools or optimising existing processes.
Craft a Compelling Cover Letter: Even though an up-to-date CV is not required, a well-written cover letter can set you apart. Use it to express your passion for the intersection of machine learning and systematic trading, and explain why you want to join this particular firm.
How to prepare for a job interview at Saragossa
✨Showcase Your Python Skills
Since the role involves building scalable Python tools, be prepared to discuss your experience with Python in detail. Bring examples of projects where you've implemented machine learning algorithms or optimised portfolios using Python.
✨Understand Systematic Trading
Familiarise yourself with the principles of systematic trading and how machine learning can enhance trading strategies. Be ready to discuss how you can contribute to the firm's goal of driving monetisation across the stack.
✨Demonstrate Ownership and Initiative
This position offers real ownership in a clean-slate environment. Prepare to share instances where you've taken initiative in previous roles, particularly in building or improving systems from the ground up.
✨Engage with Research
You'll be working closely with researchers, so show your enthusiasm for collaboration. Discuss how you can bridge the gap between research and practical application, turning theoretical models into actionable trading strategies.
