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- Tasks: Build and manage datasets for quants and traders in a dynamic trading environment.
- Company: World-leading global quantitative hedge fund with a collaborative culture.
- Benefits: Competitive salary, global exposure, and hands-on experience with impactful data systems.
- Why this job: Make a real difference in trading performance while working with cutting-edge technology.
- Qualifications: Experience in Python, databases, and a passion for data engineering.
- Other info: Opportunity for strong ownership and close collaboration with research and trading teams.
The predicted salary is between 36000 - 60000 £ per year.
A world-leading global quantitative hedge fund are 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.
Data Engineer - Trading Platform - Global Quant Firm 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
✨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 projects, especially those involving Python and data pipelines. We want to demonstrate how our experience aligns with what they’re looking for.
✨Tip Number 3
Ace the interview by brushing up on technical questions related to ETL processes and data quality checks. We should also be ready to discuss how we’ve collaborated with teams in the past, as teamwork is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of their innovative team.
We think you need these skills to ace Data Engineer - Trading Platform - Global Quant Firm
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. We love seeing practical examples of your work, especially if they relate to trading or quantitative analysis.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly address the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
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 datalakes. Brush up on your ETL pipeline knowledge and be ready to discuss how you've implemented these technologies in past projects. This will show that you can hit the ground running.
✨Understand the Trading Environment
Familiarise yourself with how quantitative trading works and the role data plays in it. Being able to speak the language of quants and traders will help you connect better during the interview and demonstrate your genuine interest in the position.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges or case studies during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to work under pressure.
✨Show Your Collaborative Spirit
Since the firm values collaboration, be prepared to share examples of how you’ve worked effectively in teams. Highlight any experiences where you’ve interacted closely with other departments, especially research and trading teams, to underline your teamwork skills.
