At a Glance
- 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: Hybrid work model, competitive salary, 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 required.
- Other info: Dynamic role with high visibility and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Associate Quantitative Developer – Research Data Platform
Perm
Hybrid
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
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Associate Quantitative Developer - Research Data Platform employer: Fynetra
Contact Detail:
Fynetra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Quantitative Developer - Research Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, cloud platforms, and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with quantitative development and systematic research pipelines. Practice makes perfect!
✨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 are proactive about their job search.
We think you need these skills to ace Associate Quantitative Developer - Research Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative development and cloud platforms. We want to see how your skills align with building data pipelines and systematic analysis workflows.
Showcase Relevant Projects: Include any projects that demonstrate your expertise in Python, SQL, or distributed computing. We love seeing real-world applications of your skills, especially if they relate to research data platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about systematic investing and how you can contribute to our next-gen data platform. Keep it engaging and relevant!
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 this high-impact role. Don’t miss out!
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 in the job description. Brush up on your knowledge of AWS or Azure, as well as distributed computing concepts. Being able to discuss your experience with these technologies confidently will show that you're a strong fit for the role.
✨Understand Systematic Research Pipelines
Familiarise yourself with systematic research pipelines and buy-side data tools. Be prepared to discuss how you've used these in past projects or how you would approach building them. This will demonstrate your understanding of the industry and your ability to contribute to their data platform.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving skills. Practice coding challenges or scenarios related to quantitative development. This will help you think on your feet and showcase your analytical abilities during the interview.
✨Show Enthusiasm for Innovation
This role is about building next-gen data platforms, so express your passion for innovation and technology. Share any personal projects or experiences where you’ve implemented new ideas or technologies. This will highlight your proactive attitude and eagerness to contribute to their mission.