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For Companies At a Glance
- Tasks: Design and build scalable data systems for cutting-edge financial projects.
- Company: Top hedge fund known for innovation and success in finance.
- Benefits: Market-leading salary, great perks, and a chance to work with top talent.
- Why this job: Join a dynamic team and make an impact in the finance world.
- Qualifications: 3+ years of Python and Data Engineering experience required.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial recruitment firm is seeking an experienced Data Engineer to work closely with quantitative portfolio managers and researchers in the UK. The role involves designing data systems, standardising data from vendors, and automating ETL processes.
Candidates should have 3+ years of Python development and Data Engineering experience, along with proficiency in NumPy, SciPy, and Pandas.
This position offers market-leading compensation in one of the most successful hedge funds.
Quant Hedge Fund Data Engineer: Build Scalable Pipelines in London employer: Capital Markets Recruitment
Contact Detail:
Capital Markets Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Hedge Fund Data Engineer: Build Scalable Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving ETL processes or data pipelines. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of NumPy, SciPy, and Pandas. Practice coding challenges that focus on data manipulation and pipeline design.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you, and applying directly can sometimes give you a better shot at landing that interview.
We think you need these skills to ace Quant Hedge Fund Data Engineer: Build Scalable Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python development and Data Engineering experience in your application. We want to see how you've used tools like NumPy, SciPy, and Pandas in real projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to designing data systems and automating ETL processes. It helps us see how you fit into our team!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. This way, we can easily understand your qualifications.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python, NumPy, SciPy, and Pandas. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. We recommend preparing specific examples that showcase your experience with data systems and ETL processes.
✨Understand the Business Context
Familiarise yourself with the hedge fund industry and the role of quantitative portfolio managers. This will help you connect your technical skills to the business needs during the interview. We suggest reading up on recent trends in finance and how data engineering plays a crucial role in decision-making.
✨Prepare for Technical Questions
Expect to face technical questions or even coding challenges during the interview. We advise practising common data engineering problems and being ready to explain your thought process. Consider using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach problem-solving in data engineering. We recommend sharing specific instances where you’ve designed scalable pipelines or automated processes. Highlighting your analytical thinking will demonstrate your fit for the role and impress the interviewers.
