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- Tasks: Scale and enhance a research data platform for quant trading.
- Company: Join a leading systematic hedge fund focused on data-driven strategies.
- Benefits: Work with top-tier professionals and access cutting-edge technology.
- Why this job: Perfect for tech-savvy individuals eager to impact finance and grow their skills.
- Qualifications: Strong Python, AWS, and ETL experience; trading background preferred.
- Other info: Collaborate with elite Quant Traders and Researchers in a dynamic environment.
Paragon are partnered with a systematic hedge fund trading quant equities and credit, who rely on data driven processes to inform their strategies. The role requires scaling and augmenting a research data platform, and helping to create a system that can integrate vast and disparate data-sets into one location, allowing Quant Researchers to easily access.
Stack: Python, AWS, Airflow, ETL
The team is partnering with tier one Quant Traders and Researchers, and would allow you to push yourself technically and professionally. They need an excellent technologist with a trading background, and someone who can understand the data quants need and why. If you would like the chance to work with some of the world's best technologists and investment professionals, then please do apply.
Data Engineer - Research Platform - Quant Hedge Fund - £275k 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 - Research Platform - Quant Hedge Fund - £275k
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, AWS, and Airflow. Having hands-on experience or projects that showcase your skills in these areas will make you stand out to the hiring team.
✨Tip Number 2
Understand the quant trading environment and the types of data that Quant Researchers typically work with. Being able to discuss how you can integrate and manage large datasets effectively will demonstrate your knowledge and relevance to the role.
✨Tip Number 3
Network with professionals in the quant finance space. Engaging with industry experts on platforms like LinkedIn can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios related to ETL processes. Being able to solve these problems on the spot will show your technical prowess and readiness for the challenges of the role.
We think you need these skills to ace Data Engineer - Research Platform - Quant Hedge Fund - £275k
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Engineer in a quant hedge fund. Familiarise yourself with the technologies mentioned, such as Python, AWS, and Airflow, and think about how your experience aligns with these requirements.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly any work involving ETL processes or integrating large datasets. Emphasise your technical skills and any previous roles that involved collaboration with quant researchers or traders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the trading environment. Mention specific projects where you've successfully scaled data platforms or worked with quantitative data, demonstrating your ability to meet the needs of the role.
Showcase Your Technical Skills: In your application, provide examples of your technical expertise. If possible, include links to projects or repositories that demonstrate your proficiency in Python, AWS, or any relevant data engineering tools. This will help you stand out as a strong candidate.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Understand the Tech Stack
Make sure you have a solid grasp of Python, AWS, Airflow, and ETL processes. Be prepared to discuss how you've used these technologies in past projects and how they can be applied to scale and augment a research data platform.
✨Showcase Your Trading Knowledge
Since the role requires a background in trading, be ready to talk about your experience in this area. Highlight any relevant projects or roles where you’ve worked closely with quant researchers or traders, and demonstrate your understanding of their data needs.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and your ability to integrate disparate data sets. Practice coding challenges or system design questions that relate to data engineering and ensure you can articulate your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategies and how the team collaborates with quant traders and researchers. This shows your genuine interest in the role and helps you understand if the company culture aligns with your career goals.
