Platform Engineer - Quant Finance & Big Data in London
Platform Engineer - Quant Finance & Big Data

Platform Engineer - Quant Finance & Big Data in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop high-quality software for a massive data platform.
  • Company: Leading quantitative finance tech firm based in the UK.
  • Benefits: Competitive pay, extensive benefits, and great work/life balance.
  • Why this job: Join a dynamic team and make an impact in the world of finance and big data.
  • Qualifications: Experience in software engineering and strong communication skills.
  • Other info: Collaborative environment with opportunities for personal and professional growth.

The predicted salary is between 43200 - 72000 £ per year.

A leading quantitative finance technology firm based in the UK is seeking a Software Engineer to contribute to developing high-quality software for a petabyte-scale data platform. The role involves designing solutions to drive value and improve throughput, with a focus on collaboration and effective communication. The firm offers competitive compensation, extensive benefits, and a strong emphasis on work/life balance.

Platform Engineer - Quant Finance & Big Data in London employer: G-Research

As a leading quantitative finance technology firm in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With competitive compensation packages, extensive benefits, and a strong commitment to work/life balance, we provide ample opportunities for professional growth and development within the dynamic field of big data and finance.
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Contact Detail:

G-Research Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Platform Engineer - Quant Finance & Big Data in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to big data and quantitative finance. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on technical questions and soft skills. Practice coding challenges and be ready to discuss how you've collaborated on past projects. Remember, communication is key!

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team.

We think you need these skills to ace Platform Engineer - Quant Finance & Big Data in London

Software Development
Data Platform Design
Collaboration
Effective Communication
Problem-Solving
Quantitative Finance Knowledge
Big Data Technologies
Performance Optimisation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with big data and quantitative finance. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of what we do.

Showcase Collaboration Skills: Since this role emphasises collaboration, mention any experiences where you’ve worked in teams or communicated effectively with others. We value teamwork, so let us know how you can bring that to the table!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at G-Research

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies and programming languages relevant to the role. Brush up on your knowledge of big data frameworks and quantitative finance concepts, as these will likely come up during technical questions.

✨Showcase Your Problem-Solving Skills

Be prepared to discuss specific examples where you've designed solutions to improve system performance or throughput. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.

✨Emphasise Collaboration

Since the role focuses on collaboration, be ready to talk about your experience working in teams. Share instances where effective communication led to successful project outcomes, and demonstrate your ability to work well with others.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s data platform and their approach to quantitative finance. This shows your genuine interest in the role and helps you assess if the company aligns with your values, especially regarding work/life balance.

Platform Engineer - Quant Finance & Big Data in London
G-Research
Location: London
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  • Platform Engineer - Quant Finance & Big Data in London

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • G

    G-Research

    200-300
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