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- Tasks: Transform data and collaborate with top quants and developers in a hedge fund environment.
- Company: Join a cutting-edge hedge fund focused on innovative data solutions.
- Benefits: Work with advanced tech, no CV needed, and gain hands-on experience.
- Why this job: Dive into a technical role that blends data analysis and engineering in finance.
- Qualifications: Experience in hedge funds or trading; familiarity with Python and SQL is a plus.
- Other info: Perfect for those looking to elevate their technical skills in a dynamic setting.
The predicted salary is between 43200 - 72000 £ per year.
You should be someone coming from a hedge fund/trading back ground.
Would you consider yourself as a mix between data analyst and data engineer? Perhaps you\’re beginning to move data around and want something slightly more technical.
This Hedge fund will allow you to get as technical as possible. Using a mixture of open end software, you\’ll be collaborating with some of the best quants and developers in the world to help transform the way they use data.
The tech stack includes Python and SQL.
Sound interesting? Get in touch.
No up to date CV required.
Hedge Fund Data Analyst/Engineer employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hedge Fund Data Analyst/Engineer
✨Tip Number 1
Make sure to highlight any experience you have in hedge funds or trading environments. This background is crucial for us, as it shows you understand the unique challenges and opportunities in this field.
✨Tip Number 2
Familiarize yourself with the latest trends in data engineering and analysis, especially in relation to financial markets. Being able to discuss current technologies and methodologies will impress us during the conversation.
✨Tip Number 3
Brush up on your Python and SQL skills. We’re looking for someone who can not only analyze data but also manipulate it effectively, so being able to demonstrate your technical abilities will set you apart.
✨Tip Number 4
Show enthusiasm for collaboration and teamwork. Since you'll be working closely with quants and developers, expressing your eagerness to learn from them and contribute to a team environment will resonate well with us.
We think you need these skills to ace Hedge Fund Data Analyst/Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your background in hedge funds or trading. Detail any specific roles or projects where you acted as a data analyst or engineer, showcasing your technical skills.
Showcase Technical Skills: Since the role involves using Python and SQL, include any relevant experience with these technologies. Mention specific projects or tasks where you utilized these skills effectively.
Express Collaboration Skills: This position involves working with quants and developers. Highlight any past experiences where you collaborated with technical teams or contributed to team projects.
Keep it Concise: Even though an up-to-date CV is not required, ensure that your application is clear and to the point. Focus on the most relevant information that aligns with the job description.
How to prepare for a job interview at Saragossa
✨Show Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've used these technologies to manipulate or analyze data, as this will demonstrate your technical capabilities.
✨Understand the Hedge Fund Environment
Familiarize yourself with the hedge fund industry and trading concepts. Being able to speak knowledgeably about market trends and how data impacts trading decisions will show that you understand the context of the role.
✨Emphasize Collaboration
Since you'll be working with quants and developers, emphasize your ability to collaborate effectively. Share examples of past teamwork experiences, especially in technical settings, to illustrate your communication skills.
✨Be Ready for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Prepare to walk through your thought process on how you would approach data challenges, as this will showcase your analytical thinking and technical prowess.
