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- Tasks: Enhance algorithmic trading strategies and optimise performance with C++.
- Company: Leading trading firm in London with a focus on high-frequency trading.
- Benefits: Market-leading compensation, hybrid working options, and a dynamic work environment.
- Why this job: Join a cutting-edge team and make a real impact in the trading world.
- Qualifications: Expertise in C++ and a passion for algorithmic trading.
- Other info: Collaborate closely with traders and researchers in a fast-paced setting.
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 (London) 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 (London)
✨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 beyond the usual application.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithmic trading concepts. We recommend practicing coding challenges that focus on performance optimisation and data processing – it’ll give you an edge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace C++ Software Engineer – HFT Desk (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ skills and any relevant experience in high-frequency trading. We want to see how your background aligns 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 Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in your previous roles. We’re looking for innovative thinkers who can enhance our trading strategies, so let us know how you’ve made a difference!
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 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 any relevant projects you've worked on. Practising coding problems can also help you demonstrate your problem-solving abilities.
✨Understand High-Frequency Trading
Familiarise yourself with the basics of high-frequency trading and the specific challenges it presents. Knowing how trading strategies work and being able to discuss them will show that you're not just a coder but someone who understands the business side of things too.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of C++ and system design. We recommend practising common interview questions and coding challenges related to performance optimisation and data processing, as these are crucial for the role.
✨Show Your Collaborative Spirit
Since you'll be working closely with traders and researchers, it's important to demonstrate your ability to collaborate effectively. Be ready to share examples of how you've worked in teams, communicated complex ideas, and contributed to successful projects in the past.
