At a Glance
- Tasks: Design and optimise ultra-low-latency trading strategies using modern C++.
- Company: Harrington Starr, a leader in trading technology.
- Benefits: Collaborative environment with opportunities for professional growth.
- Other info: Work closely with traders and quant researchers in a fast-paced setting.
- Why this job: Join a dynamic team and make an impact in high-performance trading.
- Qualifications: Strong modern C++ skills and experience with performance-critical systems.
The predicted salary is between 60000 - 80000 € per year.
Harrington Starr is currently hiring a Quant Developer in the United Kingdom. This role involves collaborating with traders and quant researchers to develop and optimize ultra-low-latency trading strategies in a high-performance C++ environment. Candidates should hold strong modern C++ skills and experience with performance-critical systems.
Responsibilities include:
- Designing trading strategies
- Translating models into production
- Profiling performance
- Working with trading and infrastructure teams
This role offers a highly collaborative and engineering-led environment.
Low-Latency Quant C++ Engineer for Trading Systems employer: Harrington Starr
Harrington Starr is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and excellence in the field of quantitative finance. With a focus on employee growth, we provide opportunities for professional development and the chance to work alongside industry experts in a high-performance C++ environment. Located in the United Kingdom, our team thrives on tackling challenging problems and delivering cutting-edge trading solutions, making it a rewarding place for those passionate about technology and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Low-Latency Quant C++ Engineer for Trading Systems
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quant development space on LinkedIn. We can leverage our connections to get insights and maybe even referrals that could land us an interview.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your C++ projects, especially those related to low-latency systems. This gives potential employers a taste of what we can do and how we think.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We should practice coding challenges that focus on performance-critical systems to impress during the interview process.
✨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 can tailor our applications to highlight our relevant experience directly.
We think you need these skills to ace Low-Latency Quant C++ Engineer for Trading Systems
Some tips for your application 🫡
Show Off Your C++ Skills:Make sure to highlight your modern C++ expertise in your application. We want to see how you've used it in performance-critical systems, so share specific examples that demonstrate your skills.
Collaborate Like a Pro:Since this role is all about teamwork, let us know about your experiences working with traders and quant researchers. We love seeing candidates who can thrive in a collaborative environment, so share those stories!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills without unnecessary 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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harrington Starr
✨Know Your C++ Inside Out
Make sure you brush up on your modern C++ skills. Be prepared to discuss specific features and how you've used them in performance-critical systems. They’ll likely ask you to solve problems or optimise code, so practice coding challenges that focus on low-latency scenarios.
✨Understand Trading Strategies
Familiarise yourself with various trading strategies and how they are implemented in a quant environment. Be ready to discuss any relevant experience you have in designing or optimising these strategies, as well as how you would approach translating models into production.
✨Showcase Collaboration Skills
Since this role involves working closely with traders and quant researchers, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects, especially in high-pressure situations.
✨Prepare for Performance Profiling Questions
Expect questions about profiling performance and optimising systems. Brush up on tools and techniques you've used to measure and improve performance in C++. Being able to articulate your thought process and the impact of your optimisations will impress the interviewers.
