Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance algorithmic trading strategies and optimise performance with C++.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Market-leading compensation, hybrid working options, and career growth.
- Why this job: Join a high-frequency trading team and make an impact in finance.
- Qualifications: Expertise in C++ and a passion for trading technology.
- Other info: Collaborative environment with opportunities to work closely with traders.
The predicted salary is between 43200 - 72000 £ per year.
A leading trading firm in London is seeking a skilled Software Engineer with expertise in C++ for their high-frequency trading team. The role involves working closely with traders and researchers to enhance algorithmic trading strategies. You will contribute to critical systems that process vast data and optimize trading performance, offering market-leading compensation and hybrid working options.
C++ Software Engineer – Hft Desk in England employer: Campbell North Ltd.
Contact Detail:
Campbell North Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Software Engineer – Hft Desk in England
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech scene on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C++ prowess, make sure to highlight it. It’s a great way to demonstrate your coding chops.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges online to get into the groove of solving problems under pressure.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our high-frequency trading team. Let’s make it happen!
We think you need these skills to ace C++ Software Engineer – Hft Desk in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ expertise and any relevant experience in high-frequency trading. We want to see how your skills align with the role, so don’t be shy about 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 algorithmic trading and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any projects related to trading systems or data processing, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your problem-solving skills and technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Campbell North Ltd.
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss advanced concepts, data structures, and algorithms, as well as demonstrate your coding abilities through practical tests or whiteboard challenges.
✨Understand High-Frequency Trading
Familiarise yourself with the principles of high-frequency trading and the specific challenges it presents. Research the firm’s trading strategies and be ready to discuss how your skills can enhance their algorithmic approaches.
✨Communicate with Confidence
Since you'll be working closely with traders and researchers, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between tech and trading, which is crucial for this role.
✨Prepare Questions for Them
Think of insightful questions to ask during the interview. Inquire about their current projects, team dynamics, and how they measure success in their trading strategies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
