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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 innovative founders.
- Benefits: Enjoy a clean-slate environment with real ownership and no legacy systems.
- Why this job: Be at the forefront of machine learning and systematic trading, shaping the future of finance.
- Qualifications: Passion for coding in Python and an interest in quantitative finance are essential.
- Other info: No up-to-date CV required; just bring your enthusiasm and skills!
The predicted salary is between 36000 - 60000 £ per year.
This quantitative trading firm is backed by experienced founders and strong capital, and they are now expanding their platform to drive their ML strategies. You will 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.
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 during your conversation can show your genuine interest and expertise in the field.
✨Tip Number 2
Prepare to demonstrate your Python skills through practical examples. Think of specific projects or challenges you've tackled that showcase your ability to build scalable tools, as this will be crucial for the role.
✨Tip Number 3
Network with professionals in the quantitative trading space. Engaging with others who work in similar roles can provide insights into the company culture and expectations, which you can leverage during your discussions.
✨Tip Number 4
Be ready to discuss how you approach problem-solving and optimisation. The role involves portfolio optimisation, so having a clear methodology or examples of how you've tackled similar challenges will set you apart.
We think you need these skills to ace Quant Developer - shape systematic trading
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Quant Developer. Highlight your experience in building scalable Python tools and your understanding of machine learning and systematic trading in your application.
Tailor Your CV: Even though an up-to-date CV is not required, it's still beneficial to create a tailored CV that showcases your relevant skills and experiences. Focus on projects or roles where you've worked on portfolio optimisation or model deployment.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for quantitative trading and machine learning. Discuss how your background aligns with the company's goals and your desire to take ownership in a clean-slate environment.
Showcase Your Projects: If you have any personal or academic projects related to machine learning or systematic trading, mention them in your application. This demonstrates your practical experience and enthusiasm for the field.
How to prepare for a job interview at Saragossa
✨Showcase Your Python Skills
As a Quant Developer, you'll be building scalable Python tools. Be prepared to discuss your experience with Python, including any relevant projects or tools you've developed. Highlight your ability to write clean, efficient code and how you've used Python in previous roles.
✨Understand Machine Learning Concepts
Since the role involves driving ML strategies, brush up on key machine learning concepts and algorithms. Be ready to explain how you've applied these concepts in practical scenarios, especially in relation to trading or financial models.
✨Demonstrate Problem-Solving Skills
This position requires a strong analytical mindset. Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Use examples that showcase your ability to think critically and innovate.
✨Express Your Passion for Trading
Make sure to convey your enthusiasm for systematic trading and quantitative finance. Share any personal projects, research, or insights you've gained in this area. This will show your genuine interest and commitment to the field.
