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- Tasks: Join a top-tier data engineering team tackling complex data sets and applying quantitative techniques.
- Company: A unique, culture-driven hedge fund known for its world-class engineering talent.
- Benefits: Competitive salary range of £250k - £450k with opportunities for growth.
- Why this job: Work on challenging problems in a collaborative environment that values innovation and expertise.
- Qualifications: Ideal candidates have a strong mathematical background and experience in data engineering within finance.
- Other info: Open tech stack allows for flexibility in tools and technologies used.
Do you come from a mathematical/algorithmic background, but feel like you haven't fully utilised that in your current data engineer role? If so, this is probably for you. This unique and culture-driven hedge fund are looking for quantitative data engineers to join their world-class data engineering team.
Some of the problems and data sets you'll work with will be incredibly complex, which is why the team consists of the best engineers in the world. You'll also be given the opportunity to use quantitative techniques to dig deep into these data sets.
So, who do you need to be?
- A Data Engineer within the Hedge Fund/Trading space
- Coming from an outstanding educational background, and work with complex data sets
If this is you - get in touch. Tech stack is open.
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Data Engineer - (£250k - £450k)
✨Tip Number 1
Network with professionals in the hedge fund and trading space. Attend industry events, webinars, or meetups to connect with data engineers and recruiters who can provide insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest quantitative techniques and tools used in data engineering. Being well-versed in these methods will not only boost your confidence but also demonstrate your commitment to the role during interviews.
✨Tip Number 3
Prepare to discuss complex data sets you've worked with in the past. Be ready to explain your thought process and the algorithms you applied, as this will showcase your analytical skills and problem-solving abilities.
✨Tip Number 4
Research the specific challenges faced by hedge funds in data engineering. Understanding these issues will allow you to tailor your discussions and show how your skills can directly address their needs.
We think you need these skills to ace Quantitative Data Engineer - (£250k - £450k)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience as a Data Engineer, particularly in the Hedge Fund or Trading space. Detail specific projects where you've worked with complex data sets and any quantitative techniques you've applied.
Showcase Your Educational Background: Since the role requires an outstanding educational background, include your degrees and any relevant coursework that demonstrates your mathematical and algorithmic skills. Mention any honours or distinctions that set you apart.
Tailor Your CV: Customise your CV to align with the job description. Use keywords from the posting, such as 'quantitative techniques' and 'complex data sets', to ensure your application stands out to recruiters.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company culture. Share why you're excited about the opportunity to work with a world-class data engineering team.
How to prepare for a job interview at Saragossa
✨Showcase Your Technical Skills
Be prepared to discuss your experience with complex data sets and any relevant technologies you've used. Highlight specific projects where you applied quantitative techniques, as this will demonstrate your capability to handle the challenges of the role.
✨Understand the Company Culture
Research the hedge fund's culture and values. Be ready to explain how your personal values align with theirs. This shows that you're not just a fit for the role, but also for the team environment.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this is crucial in a role that deals with complex data.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects or the challenges they face. This demonstrates your genuine interest in the role and helps you gauge if the company is the right fit for you.
