Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data systems for high-performance trading in global markets.
- Company: Join a leading hedge fund with a top-notch data engineering team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on trading strategies using cutting-edge data technologies.
- Qualifications: Experience in data engineering and a passion for data-driven decision making.
- Other info: Dynamic role with potential for significant career advancement.
The predicted salary is between 48000 - 72000 £ per year.
OCR is working with several multi-billion-dollar hedge funds to offer outstanding opportunities for ambitious Data Engineers ready to have real impact. You’ll have the chance to work with one of the strongest data engineering teams in finance, building scalable systems that underpin high-performance trading across global markets.
For those drawn to complex data infrastructure, you’ll be working on pipelines and platforms that ingest, clean, and deliver high-volume market and alternative data used across strategies. This will be a mid-level to senior hire. Someone who already has experience in owning products and platforms and driving them to heavy use across the firm or is ready to take that next step.
You’ll be using modern tools like Python, SQL, Airflow, Spark, and Snowflake, with cloud-native infrastructure across AWS, GCP, or Azure. Prior experience with financial data is a bonus, but what’s most important is strong engineering skill and a curiosity for how data drives decisions.
If you’re ready to build systems at the intersection of data and trading, please apply.
Data Engineer - Hedge Fund employer: OCR Alpha
Contact Detail:
OCR Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Hedge Fund
✨Tip Number 1
Network like a pro! Reach out to current or former employees at hedge funds and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using Python, SQL, or cloud platforms. This will help us see your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data pipelines and systems. Practice coding challenges and be ready to discuss how you've tackled complex data problems in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Data Engineer - Hedge Fund
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with tools like Python, SQL, and Airflow in your application. We want to see how you've used these skills in real-world scenarios, especially if you've worked on data pipelines or platforms before.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Engineer role. Mention any relevant experience with financial data or high-performance systems to catch our eye.
Be Curious: We love candidates who are curious about how data drives decisions. In your cover letter, share examples of how your curiosity has led you to solve problems or improve processes in your previous roles.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at OCR Alpha
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, Airflow, Spark, and Snowflake. Brush up on your knowledge of cloud platforms such as AWS, GCP, or Azure, as you might be asked to discuss how you've used these technologies in past projects.
✨Showcase Your Experience
Prepare to talk about specific projects where you owned products or platforms. Highlight how you drove them to heavy use across your previous firms. Use concrete examples to demonstrate your impact and the results of your work.
✨Understand Financial Data
While prior experience with financial data is a bonus, it’s crucial to show your curiosity about how data drives decisions in finance. Familiarise yourself with market data concepts and be ready to discuss how you would approach building systems for high-performance trading.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the challenges they face, and how your role as a Data Engineer will contribute to their success. This shows your genuine interest and helps you assess if the company is the right fit for you.
