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- Tasks: Design data systems and develop tools for high-impact trading datasets.
- Company: Leading hedge fund in Greater London with a focus on innovation.
- Benefits: Hybrid working model and competitive compensation packages.
- Other info: Collaborate with quantitative portfolio managers in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the trading tech space.
- Qualifications: 3+ years in data engineering, strong Python skills, SQL and Linux familiarity.
The predicted salary is between 43200 - 72000 £ per year.
A leading hedge fund is seeking an experienced Data Engineer in Greater London. This role involves collaborating with quantitative portfolio managers, designing data systems, developing tools for datasets, and ensuring data quality.
Candidates should have over 3 years of experience in data engineering, strong Python skills, and familiarity with SQL and Linux.
This position offers a hybrid working model and competitive compensation packages.
Quant Data Engineer — Hybrid Role in High-Impact Trading Tech 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 Data Engineer — Hybrid Role in High-Impact Trading Tech in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in hedge funds or trading tech. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and data system design. Practice common interview questions related to data quality and tools for datasets, so you can impress the hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quant Data Engineer — Hybrid Role in High-Impact Trading Tech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python, SQL, and Linux. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working closely with quantitative portfolio managers, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with Python, SQL, and Linux in detail. Prepare examples of how you've designed data systems or improved data quality in previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working closely with quantitative portfolio managers, be prepared to talk about your teamwork experiences. Share specific instances where you collaborated on projects, highlighting how your contributions made a difference.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges in Python and SQL, and be ready to explain your thought process. This will demonstrate your analytical abilities and technical expertise.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the tools and technologies the team uses, or ask how they measure the success of their data systems. This shows your genuine interest in the role and the company.