Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data pipelines, analyse datasets, and develop scalable infrastructure.
- Company: Pioneering systematic hedge fund with a collaborative research culture.
- Benefits: Highly competitive compensation and direct influence on research infrastructure.
- Other info: Join a dynamic team at the heart of innovative investment strategies.
- Why this job: Make a real impact in a leading global platform with ownership and intellectual depth.
- Qualifications: 2+ years in data engineering, advanced Python, strong SQL, and experience with large datasets.
The predicted salary is between 60000 - 80000 £ per year.
A pioneering systematic hedge fund with decades of experience building data-driven investment strategies across global markets. Their Data Engineering team sits at the heart of the research infrastructure, partnering directly with quantitative researchers and portfolio managers to turn complex, large-scale data into production-ready signals. This role is for exceptional individuals from top-tier quantitative firms who want ownership, intellectual depth, and real impact.
Responsibilities:
- Build and maintain robust pipelines for ingesting, cleaning, and integrating large-scale datasets
- Analyse new and existing data sources to identify patterns with investment relevance
- Develop automated, scalable data infrastructure to support systematic research
- Work closely with quantitative researchers to productionise data and research workflows
Requirements:
- 2+ years' experience in data engineering or a closely related discipline within top-tier systematic hedge funds or proprietary trading firms
- Background from top tier firms
- Advanced Python and strong SQL
- Proven experience working with large, noisy, real-world datasets
Why Join:
- One of the most established systematic platforms globally, with a multi-decade track record
- Direct influence on live research infrastructure
- Highly competitive compensation and a genuinely collaborative research culture
Quantitative Developer (Data) in City of London employer: DURLSTON PARTNERS
Contact Detail:
DURLSTON PARTNERS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (Data) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at systematic hedge funds. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. Real-world examples of your work with Python and SQL can really set you apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges and be ready to discuss how you've tackled large datasets in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Quantitative Developer (Data) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Developer. Highlight your experience with data engineering, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in handling large datasets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with the systematic hedge fund environment. Be sure to mention specific experiences that demonstrate your ability to work with quantitative researchers.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. This could be anything from building robust data pipelines to identifying investment-relevant patterns. We love seeing how you think!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at DURLSTON PARTNERS
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your experience with large, noisy datasets and be ready to discuss specific examples of how you've cleaned and integrated data in previous roles.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your advanced Python and SQL abilities during the interview. You might be asked to solve a problem or write a query on the spot, so practice coding challenges that reflect real-world scenarios you’d encounter in this role.
✨Understand the Hedge Fund Landscape
Familiarise yourself with the systematic hedge fund industry and the specific firm’s strategies. Being able to discuss current trends and how they impact data engineering will show your genuine interest and understanding of the field.
✨Collaborate and Communicate
Since the role involves working closely with quantitative researchers, be prepared to discuss how you’ve collaborated in the past. Highlight your communication skills and how you’ve translated complex data insights into actionable strategies for non-technical stakeholders.