Quantitative Data Engineer - (£250k - £450k)
Quantitative Data Engineer - (£250k - £450k)

Quantitative Data Engineer - (£250k - £450k)

Full-Time No home office possible
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At a Glance

  • 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: Tech stack is flexible, allowing you to work with the tools you prefer.

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.

Quantitative Data Engineer - (£250k - £450k) employer: LinkedIn

This hedge fund is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among some of the brightest minds in the industry. With a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to leverage your mathematical skills in tackling complex data challenges. Located in a vibrant area, the company provides a stimulating environment that not only values your contributions but also supports your professional development and well-being.
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Contact Detail:

LinkedIn 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

Showcase your mathematical and algorithmic skills through personal projects or contributions to open-source initiatives. This will demonstrate your ability to handle complex data sets and apply quantitative techniques effectively.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of data engineering concepts and quantitative methods. Practice solving real-world problems that you might encounter in a hedge fund environment.

Tip Number 4

Research the specific technologies and tools used by the company. Familiarise yourself with their tech stack and be ready to discuss how your experience aligns with their needs during networking conversations or interviews.

We think you need these skills to ace Quantitative Data Engineer - (£250k - £450k)

Strong Mathematical Skills
Algorithm Development
Data Engineering
Experience with Complex Data Sets
Quantitative Analysis
Programming Skills (Python, R, or similar)
Data Modelling
ETL Processes
Big Data Technologies (Hadoop, Spark, etc.)
Statistical Analysis
Problem-Solving Skills
Attention to Detail
Collaboration and Teamwork
Adaptability to New Technologies

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 you received.

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 expresses your enthusiasm for the role but also explains how your skills and experiences make you a perfect fit for the team. Be sure to mention your passion for tackling complex problems and working with top-tier engineers.

How to prepare for a job interview at LinkedIn

Showcase Your Mathematical Skills

Since the role requires a strong mathematical and algorithmic background, be prepared to discuss specific examples of how you've applied these skills in your previous roles. Highlight any complex data sets you've worked with and the quantitative techniques you used.

Understand the Hedge Fund Environment

Familiarise yourself with the hedge fund and trading space. Research the company’s culture and values, as well as current trends in quantitative finance. This will help you demonstrate your genuine interest in the role and the industry during the interview.

Prepare for Technical Questions

Expect technical questions related to data engineering and quantitative analysis. Brush up on relevant programming languages and tools that are commonly used in the industry. Be ready to solve problems on the spot or explain your thought process clearly.

Ask Insightful Questions

Prepare thoughtful questions to ask the interviewers about their data engineering processes, team dynamics, and the challenges they face. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.

Quantitative Data Engineer - (£250k - £450k)
LinkedIn
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