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For Companies At a Glance
- Tasks: Join a top-tier data engineering team to solve complex data challenges.
- Company: Saragossa, a leader in investment technology for hedge funds.
- Benefits: Competitive salary, full-time role, and opportunities for growth.
- Why this job: Make an impact in the finance world using your quantitative skills.
- Qualifications: Experience as a Data Engineer in Hedge Funds and strong analytical skills.
- Other info: Dynamic environment with a focus on innovation and collaboration.
Overview
Consultant at Saragossa – Creating competitive advantage for investment technology organisations
This role targets individuals with a mathematical/algorithmic background who want to apply those skills in a data engineering context within a hedge fund environment.
Responsibilities
- Join a world-class data engineering team within a hedge fund/trading space to tackle complex data problems
- Apply quantitative techniques to explore and derive insights from large, complex data sets
- Collaborate with engineers to build robust data pipelines and infrastructure
Qualifications
- Data Engineer experience within the Hedge Fund/Trading space
- Strong educational background and ability to work with complex data sets
Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering, Finance, and Information Technology
- Industries: Financial Services, Software Development, and Data Infrastructure and Analytics
Location
London, England, United Kingdom
Base pay range
Base pay range is provided by Saragossa. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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Quantitative Data Engineer - (£250k - £550k) employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Data Engineer - (£250k - £550k)
✨Tip Number 1
Network like a pro! Reach out to folks in the hedge fund and trading space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects or case studies that highlight your quantitative techniques and data engineering prowess. This will make you stand out in interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges. We recommend using platforms like StudySmarter to sharpen your knowledge before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Quantitative Data Engineer - (£250k - £550k)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical and algorithmic skills, especially those relevant to data engineering. We want to see how your experience aligns with the hedge fund environment, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering in the finance sector. We love seeing candidates who can articulate their interest in tackling complex data problems.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to include them. We’re keen to see how you’ve applied quantitative techniques to real-world data sets, so share those insights!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Saragossa
✨Know Your Numbers
Brush up on your mathematical and algorithmic skills. Be prepared to discuss specific quantitative techniques you've used in past projects, especially those related to data engineering. This will show that you can apply your knowledge effectively in a hedge fund environment.
✨Showcase Your Data Skills
Prepare examples of complex data sets you've worked with. Highlight how you tackled challenges and derived insights. Being able to articulate your thought process will demonstrate your problem-solving abilities and technical expertise.
✨Collaborate Like a Pro
Since this role involves working closely with engineers, be ready to discuss your experience in team settings. Share examples of successful collaborations and how you contributed to building robust data pipelines or infrastructure.
✨Research the Company
Familiarise yourself with Saragossa and their approach to investment technology. Understanding their mission and recent projects will help you tailor your responses and show genuine interest in the role and the company.
