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- Tasks: Develop ultra-low-latency trading systems and optimise code for speed.
- Company: Leading algorithmic trading firm in London with a skilled team.
- Benefits: Competitive compensation, hybrid work setup, and exceptional growth opportunities.
- Why this job: Directly influence financial performance while working with top-tier professionals.
- Qualifications: Strong C++ skills and a passion for high-performance applications.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A prominent algorithmic trading firm in London seeks a C++ Software Engineer to develop ultra-low-latency trading systems. Join a skilled team where your work directly influences financial performance.
You will design high-performance applications and optimize code for speed, collaborating with top-tier quantitative researchers and traders.
This role offers competitive compensation, a hybrid work setup, and opportunities for exceptional professional growth.
High-Performance C++ Engineer for HFT Trading employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High-Performance C++ Engineer for HFT Trading
✨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! Create a GitHub repo with some cool C++ projects or algorithms you've worked on. It’s a great way to demonstrate your coding chops beyond the interview.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges. Websites like LeetCode or HackerRank are perfect for brushing up on those ultra-low-latency algorithms you'll be working with.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly shows you’re serious about joining our team.
We think you need these skills to ace High-Performance C++ Engineer for HFT Trading
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your experience with C++ in your application. We want to see how you've used it to build high-performance applications, especially in low-latency environments. Don’t hold back on the technical details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for specific experiences that relate to algorithmic trading and optimising code. Show us why you’re the perfect fit for our team!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Let us see your passion for coding without getting lost in the details.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Hunter Bond
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss advanced concepts like memory management, templates, and concurrency, as these are crucial for developing ultra-low-latency systems.
✨Understand the Trading Environment
Familiarise yourself with the basics of high-frequency trading (HFT) and algorithmic trading. Knowing how trading systems operate and the importance of speed and efficiency will show that you're genuinely interested in the role.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Practice solving problems related to performance optimisation and low-latency programming, as this will demonstrate your ability to think critically under pressure.
✨Showcase Your Collaboration Skills
Since you'll be working closely with quantitative researchers and traders, highlight any past experiences where you've successfully collaborated with cross-functional teams. This will illustrate your ability to communicate effectively and contribute to a team-oriented environment.
