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- Tasks: Build the next-gen data platform for research and enable systematic analysis workflows.
- Company: Join a leading firm focused on innovative data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in systematic investing with cutting-edge technology.
- Qualifications: 2-5 years in quantitative/app development, Python, cloud platforms, and SQL skills.
- Other info: Dynamic role with high-impact contributions to research data.
The predicted salary is between 36000 - 60000 £ per year.
Role Overview:
Build the next-gen data platform for research: ingestion, modeling, cloud-native pipelines. Enable systematic analysis workflows using open-source and distributed systems.
Must-Haves:
- 2–5 years experience in quantitative/app development
- Python + cloud platform experience (AWS/Azure), SQL, distributed computing
- Familiarity with systematic research pipelines and buy-side data tools
Why It Stands Out:
High-impact role powering systematic investing engines.
Associate Quantitative Developer - Research Data Platform in London employer: Fynetra
Contact Detail:
Fynetra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Quantitative Developer - Research Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with quantitative development or data platforms. 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 projects or contributions to open-source systems, make sure to highlight them. Create a portfolio or GitHub repo showcasing your Python and cloud platform experience – it’s a great way to stand out!
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and distributed computing knowledge. Practice coding challenges and be ready to discuss how you've tackled systematic research pipelines in the past.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Associate Quantitative Developer - Research Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative development and any relevant projects. We want to see how your skills in Python, cloud platforms, and SQL shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for building data platforms and how your background aligns with our mission at StudySmarter.
Showcase Relevant Experience: When filling out your application, emphasise your experience with systematic research pipelines and distributed computing. We love seeing how you've tackled challenges in previous roles!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Fynetra
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the cloud platforms mentioned, like AWS or Azure. Brush up on your knowledge of distributed computing and be ready to discuss how you've used these technologies in past projects.
✨Understand Systematic Research Pipelines
Familiarise yourself with systematic research workflows and buy-side data tools. Be prepared to explain how you can contribute to building and optimising these pipelines, as this will show your understanding of the role's requirements.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in quantitative development and how you overcame them. Use examples that highlight your analytical thinking and ability to work with complex data sets.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, the data platform, or the company’s vision for systematic investing. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
