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- Tasks: Build and scale data systems for real-time market data in finance.
- Company: Leading quantitative finance firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, great work environment, and opportunities for professional growth.
- Why this job: Join a team that shapes investment decisions through cutting-edge data engineering.
- Qualifications: 5-7 years of experience in software engineering with Java or Python.
- Other info: Ideal for those passionate about engineering excellence and complex problem-solving.
The predicted salary is between 48000 - 72000 £ per year.
A leading quantitative finance firm in Greater London is seeking a skilled Data Engineer to build mission-critical data systems. In this role, you will design and scale platforms for massive volumes of market data and tackle complex distributed systems tasks.
The ideal candidate should have 5-7 years of software engineering experience with Java or Python, and a strong academic background in a related field.
Join a team that values engineering excellence and intellectual curiosity, shaping how data drives investment decisions.
Senior Data Engineer - Real-Time Quant Finance Platform employer: Glocomms
Contact Detail:
Glocomms Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Real-Time Quant Finance Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-time data systems. This is your chance to shine and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Java or Python and how you've tackled complex data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Plus, it helps us keep track of your application more easily.
We think you need these skills to ace Senior Data Engineer - Real-Time Quant Finance Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java or Python, especially in relation to building data systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative finance and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex distributed systems tasks. We love seeing how you approach challenges and find innovative solutions, so share those stories with us!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Glocomms
✨Know Your Tech Inside Out
Make sure you’re well-versed in Java or Python, as these are crucial for the role. Brush up on your coding skills and be ready to tackle technical questions or even live coding challenges during the interview.
✨Understand the Business Context
Familiarise yourself with how data impacts investment decisions in quantitative finance. This will help you demonstrate your understanding of the industry and show that you can align your technical skills with the firm's goals.
✨Prepare for System Design Questions
Expect to discuss complex distributed systems and data architecture. Think through potential scenarios where you might need to design scalable data platforms and be ready to explain your thought process clearly.
✨Showcase Your Curiosity
The firm values intellectual curiosity, so don’t hesitate to ask insightful questions about their projects and technologies. This not only shows your interest but also helps you gauge if the company is the right fit for you.
