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- Tasks: Build and manage datasets for trading, develop automated ETL pipelines, and ensure data quality.
- Company: Join a world-leading global quantitative hedge fund with a collaborative culture.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Dynamic environment with close interaction with quants and traders.
- Why this job: Make a real impact on trading performance while working with cutting-edge data technologies.
- Qualifications: Experience in Python, databases, and data engineering; strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
A world‑leading global quantitative hedge fund is looking for a Data Engineer to support their systematic trading and research platform, with a focus on building, managing, and scaling datasets used directly by quants and traders. You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets, implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams.
Stack:
- Python
- Databases/Datalakes
- Git
The firm offers a highly collaborative, global environment with strong ownership, close interaction with quants and traders, and the opportunity to work on data systems that directly impact trading performance.
Please get in touch if this is of interest.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Finance
Industries: Financial Services, Investment Banking, Banking
Data Engineer - Trading Platform - Global Quant Firm in England employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Trading Platform - Global Quant Firm in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving ETL pipelines or data quality checks. This will help us demonstrate our hands-on experience and problem-solving abilities.
✨Tip Number 3
Ace the interview! Research common interview questions for Data Engineers and practice your answers. We should also be ready to discuss how we can contribute to the trading platform and collaborate with quants and traders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in the role and the company.
We think you need these skills to ace Data Engineer - Trading Platform - Global Quant Firm in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, especially with Python and ETL pipelines. We want to see how your skills align with the needs of our trading platform!
Showcase Your Projects: Include any projects or experiences where you've built or managed datasets. If you've worked with quants or traders before, let us know! This will help us see your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the Data Engineer role at QuantumBlack.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Stack
Make sure you’re well-versed in Python, databases, and Git. Brush up on your ETL pipeline knowledge and be ready to discuss how you've used these technologies in past projects. The more specific examples you can provide, the better!
✨Understand the Business
Familiarise yourself with how data impacts trading performance. Research the firm’s approach to systematic trading and think about how your role as a Data Engineer will contribute to that. Showing that you understand the bigger picture can really impress the interviewers.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving skills. Practice coding challenges related to data engineering and be prepared to explain your thought process. This is your chance to showcase your analytical skills and how you tackle complex problems.
✨Show Your Collaborative Spirit
Since the role involves close interaction with quants and traders, highlight your teamwork experiences. Share examples of how you’ve successfully collaborated with different teams in the past, and express your enthusiasm for working in a highly collaborative environment.