Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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.
- 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.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the trading tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and data system design. Practice common interview questions and maybe even do some mock interviews with friends.
✨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 Data Engineer — Hybrid Role in High-Impact Trading Tech
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of experience in data engineering. We want to see how you've tackled challenges and what tools you've used, especially in Python, SQL, and Linux.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to collaborating with quantitative portfolio managers or designing data systems.
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by using bullet points and clear headings. This helps us quickly see your skills and experiences without sifting through dense paragraphs.
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 high-impact trading tech!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Linux skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business
Research the hedge fund and its trading strategies. Understanding how data engineering supports quantitative portfolio management will help you demonstrate your value and show that you're genuinely interested in the role.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges or data system design scenarios that might come up during the interview. This will help you feel more confident and articulate your thought process clearly.
✨Showcase Collaboration Skills
Since this role involves working closely with quantitative portfolio managers, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, especially in high-pressure situations.