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- Tasks: Build and scale alpha algorithms for systematic trading in a global hedge fund.
- Company: Join a high-performing equity fund with a tech-driven, lean environment.
- Benefits: Competitive salary, dynamic projects, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact on trading systems and portfolio optimisation in a fast-paced setting.
- Qualifications: Strong programming skills and a solid understanding of mathematical methods required.
- Other info: No up-to-date CV needed; reach out directly for more info!
The predicted salary is between 48000 - 72000 £ per year.
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.
Apply or reach out directly to megan@saragossa.io. No up-to-date CV required.
Quantitative Developer - Powering systematic trading in a global Hedge Fund in Slough employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Powering systematic trading in a global Hedge Fund in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in systematic trading. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or code samples, make sure to share them. This is your chance to demonstrate your programming chops and mathematical prowess without needing a CV.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Reach out directly to companies you're interested in, like us at StudySmarter. Express your enthusiasm for systematic trading and how you can contribute to their success.
✨Tip Number 4
Stay updated on industry trends! Follow relevant blogs, podcasts, and forums. Being knowledgeable about the latest in quantitative development will not only help you in interviews but also show your passion for the field.
We think you need these skills to ace Quantitative Developer - Powering systematic trading in a global Hedge Fund in Slough
Some tips for your application 🫡
Show Your Passion for Systematic Trading: When writing your application, let us know why you're excited about systematic trading. Share any relevant experiences or projects that highlight your enthusiasm and understanding of the field.
Highlight Your Technical Skills: Make sure to showcase your programming capabilities and mathematical methods. We want to see how your skills can contribute to building and scaling alpha algorithms, so don’t hold back on the details!
Tailor Your Application: Customise your application to reflect the specific requirements of the Quantitative Developer role. Mention any experience with portfolio construction, backtesting, or live trading systems to show you’re a perfect fit for our team.
Keep It Concise and Clear: While we love detail, clarity is key! Make your application easy to read and straight to the point. Remember, no up-to-date CV is required, so focus on what makes you stand out in your written application.
How to prepare for a job interview at Saragossa
✨Know Your Algorithms
Make sure you brush up on your knowledge of alpha algorithms and portfolio construction techniques. Be ready to discuss how you've implemented these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Since strong programming capability is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to quantitative finance or systematic trading.
✨Understand the Trading Environment
Familiarise yourself with live trading systems and how they interact with risk management and execution. Being able to discuss how signals flow through these systems will show that you understand the practical applications of your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the current projects mentioned in the job description, like enhancing the portfolio construction stack or improving backtesting architecture. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.