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- Tasks: Design and maintain a cutting-edge calculation framework for scalable analytics.
- Company: Dynamic tech company in the financial services sector.
- Benefits: Competitive pay, flexible working, generous leave, and great employee perks.
- Why this job: Join a team that shapes the future of financial technology with innovative solutions.
- Qualifications: Proven programming skills in C#, C++, or Java; STEM background preferred.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 30000 - 50000 £ per year.
A tech company in financial services is seeking a Software Engineer to design and maintain their calculation framework. The role involves collaborating with engineers to develop a robust distributed calculation engine.
Applicants should have proven programming skills in C#, C++, or Java, and a solid understanding of system performance. This position offers competitive compensation along with various employee benefits including flexible working and generous leave policies. Candidates with a STEM background are preferred.
Software Engineer – Scalable Analytics & Distributed Systems (Hybrid) in London employer: TradingHub
Contact Detail:
TradingHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – Scalable Analytics & Distributed Systems (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or tech meetups. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your programming prowess in C#, C++, or Java. We want to see how you tackle real-world problems, so make sure to include any relevant work you've done.
✨Tip Number 3
Ace the interview! Brush up on system performance concepts and be ready to discuss how you would design a distributed calculation engine. We recommend practising common technical questions and coding challenges to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Software Engineer – Scalable Analytics & Distributed Systems (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C#, C++, or Java. We want to see how you can contribute to our distributed calculation engine, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with scalable analytics and system performance, as it’ll show us you’re the perfect fit for our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for software engineering shines through without any fluff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our hybrid work environment.
How to prepare for a job interview at TradingHub
✨Know Your Tech Stack
Make sure you brush up on your programming skills in C#, C++, or Java. Be ready to discuss specific projects where you've used these languages, and how they relate to building scalable analytics and distributed systems.
✨Understand System Performance
Dive deep into system performance concepts. Be prepared to explain how you would optimise a distributed calculation engine and share examples of how you've tackled performance issues in the past.
✨Collaboration is Key
Since this role involves working closely with other engineers, think of examples that showcase your teamwork skills. Be ready to discuss how you’ve collaborated on projects and resolved conflicts within a team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's technology stack, their approach to scalability, and the challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
