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For Companies At a Glance
- Tasks: Join a team to scale and enhance a research data platform for quant trading.
- Company: Work with a leading systematic hedge fund focused on data-driven strategies.
- Benefits: Enjoy competitive salary, professional growth, and collaboration with top-tier professionals.
- Why this job: This role offers a chance to push your technical skills while impacting investment strategies.
- Qualifications: Ideal candidates have a strong tech background in Python, AWS, and ETL processes.
- Other info: Opportunity to collaborate with elite Quant Traders and Researchers.
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
Network with professionals in the quant finance space, especially those who work with data engineering. Engaging with them on platforms like LinkedIn can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in quantitative trading and data engineering. Being able to discuss recent developments or innovations in the field during interviews can demonstrate your passion and commitment to the industry.
✨Tip Number 4
Prepare to discuss how you can integrate disparate data sets effectively. Think of examples from your past experiences where you've successfully managed large data sets or improved data accessibility for teams, as this will resonate well with the hiring managers.
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 in relation to trading and quantitative research. Emphasise any projects where you've integrated large datasets or worked with ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the quant finance space. Mention specific examples of how your skills can contribute to scaling and augmenting a research data platform.
Highlight Technical Skills: In your application, be sure to clearly list your technical skills, especially those relevant to the job description. Include any experience with cloud services like AWS, data processing frameworks, and your proficiency in Python.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, AWS, and Airflow during the interview. Be prepared to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Quantitative Aspect
Since the role involves working closely with Quant Researchers, it's crucial to demonstrate your understanding of quantitative trading. Brush up on key concepts and be ready to explain how data influences trading strategies.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your ability to integrate disparate data sets. Practice common ETL scenarios and be ready to walk through your thought process in a clear and logical manner.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the team’s current projects or the technology stack they use. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
