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- Tasks: Build an advanced research data platform and develop cloud-native pipelines.
- Company: Leading data solutions firm in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a high-impact role that powers systematic investing engines.
- Qualifications: 2-5 years of application development experience with Python, AWS/Azure, and SQL skills.
- Other info: Dynamic environment with a focus on systematic analysis workflows.
The predicted salary is between 36000 - 60000 £ per year.
A leading data solutions firm in the United Kingdom seeks an Associate Quantitative Developer to build an advanced research data platform. The role involves developing cloud-native pipelines and promoting systematic analysis workflows using open-source systems.
The ideal candidate will have 2-5 years' experience in application development with strong skills in Python, cloud platforms (AWS/Azure), and SQL. This is a high-impact role that powers systematic investing engines and offers a hybrid work model.
Hybrid Quant Developer – Research Data Platform employer: Fynetra
Contact Detail:
Fynetra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Quant Developer – Research Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, cloud platforms, and SQL. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to quantitative development. We recommend practicing coding challenges and discussing your thought process clearly during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Quant Developer – Research Data Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, cloud platforms like AWS or Azure, and SQL in your application. We want to see how your skills align with the role of a Hybrid Quant Developer!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements mentioned in the job description. It shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
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 exciting opportunity in building our research data platform!
How to prepare for a job interview at Fynetra
✨Know Your Tech Stack
Make sure you brush up on your Python, AWS/Azure, and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Understand Systematic Analysis Workflows
Familiarise yourself with systematic analysis workflows and how they apply to data platforms. Being able to articulate how you would promote these workflows in a cloud-native environment will demonstrate your alignment with the role's objectives.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges or algorithm problems that relate to quantitative development. This will help you showcase your analytical thinking and coding prowess under pressure.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data solutions and their approach to building the research data platform. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.
