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- Tasks: Design and implement high-performance C++ systems for low-latency trading.
- Company: Leading systematic trading firm with a world-class engineering team.
- Benefits: Top-tier compensation, performance bonuses, and hybrid work options.
- Why this job: Join the forefront of financial technology and tackle complex challenges.
- Qualifications: Strong C++ skills and experience in low-latency environments preferred.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A systematic trading firm is seeking exceptional C++ Software Engineers to join its world-class engineering team in London. This hybrid position involves designing and implementing high-performance C++ systems for low-latency trading while collaborating with traders and researchers.
Candidates should have strong C++ skills and preferably experience in low-latency environments. The role offers top-tier compensation, performance-based bonuses, and opportunities to work on complex systems at the forefront of financial technology.
Low-Latency C++ Engineer for HFT & Quant Trading employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency C++ Engineer for HFT & Quant Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨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 during interviews. We want to see your coding chops in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We recommend doing mock interviews with friends or using platforms that simulate the real deal. Practice makes perfect!
✨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 are proactive about their job search.
We think you need these skills to ace Low-Latency C++ Engineer for HFT & Quant Trading
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your strong C++ skills in your application. We want to see how you've used C++ in past projects, especially in low-latency environments. Don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that relate to high-performance systems and trading. We love seeing candidates who understand what we do and how they can contribute.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for our team.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Durlston Partners
✨Master Your C++ Skills
Make sure you brush up on your C++ knowledge before the interview. Focus on advanced concepts like memory management, concurrency, and performance optimisation, as these will likely come up in technical discussions.
✨Understand Low-Latency Trading
Familiarise yourself with the principles of low-latency trading and how it impacts system design. Be prepared to discuss your experience or understanding of optimising code for speed and efficiency, as this is crucial for the role.
✨Showcase Collaboration Skills
Since the role involves working closely with traders and researchers, be ready to demonstrate your ability to collaborate effectively. Share examples from past experiences where teamwork led to successful project outcomes.
✨Prepare for Problem-Solving Questions
Expect to tackle some challenging problem-solving questions during the interview. Practice coding problems that focus on algorithms and data structures, as well as scenarios specific to trading systems, to showcase your analytical skills.
