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- Tasks: Design and build scalable data systems for quantitative finance.
- Company: Top hedge fund known for innovation and success.
- Benefits: Market-leading salary and opportunities for career advancement.
- 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: Collaborate with top portfolio managers and researchers.
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 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
✨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 NumPy, SciPy, and Pandas skills. Practice coding challenges that focus on data manipulation and analysis to impress the interviewers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Quant Hedge Fund Data Engineer: Build Scalable Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python development and Data Engineering. We want to see how your skills with NumPy, SciPy, and Pandas can 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 specific examples of your past work with data systems and ETL processes to grab our attention.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love seeing candidates who can think critically and innovate!
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!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the libraries mentioned, like NumPy, SciPy, and Pandas. Brush up on your knowledge of data systems and ETL processes, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to design scalable pipelines and standardise data from various vendors.
✨Understand the Business Context
Familiarise yourself with the hedge fund industry and how data engineering supports quantitative portfolio management. This will help you connect your technical skills to the business needs during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to data challenges. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
