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For Companies At a Glance
- Tasks: Design and implement low-latency C++ systems for trading.
- Company: Join a leading global hedge fund innovating in technology and data science.
- Benefits: Enjoy competitive pay based on performance and technical skills.
- Why this job: Work in a fast-paced environment with direct impact on trading strategies.
- Qualifications: 5+ years in financial services, strong C++ skills, and experience in low-latency systems.
- Other info: Collaborate closely with trading teams to optimise execution performance.
The predicted salary is between 72000 - 108000 £ per year.
This is a top-tier global hedge fund committed to leveraging innovations in technology and data science to solve complex problems. They are seeking a Quantitative Developer passionate about designing, architecting, and implementing low-latency C++ systems that are robust, resilient, accurate, and exceptionally fast. The role involves working directly with the firm's central trading teams to develop high-performance infrastructure that enables new trading opportunities and optimal execution performance.
Job Duties
- Develop execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
- Collaborate with central trading teams to optimize execution performance.
- Enhance platform efficiency through network and systems programming and other advanced techniques to reduce latency.
- Create systems, interfaces, and tools for market data analysis and trading simulations to improve research productivity and testing.
- Build and maintain automated tests, performance benchmarking frameworks, and other tools.
- Work closely with trading teams to gather requirements and develop solutions in a fast-paced environment.
Qualifications
- 5+ years of professional experience in a front-office, financial services environment as a senior contributor.
- 10+ years' total professional experience, with a preference for candidates experienced in proprietary finance, high-frequency trading (HFT), or market-making.
- Strong background in data structures, algorithms, and object-oriented programming in C++, including proficiency with C++17 and C++20 features.
- Experience with multithreading and asynchronous programming.
- Deep understanding of low-latency and real-time system design and implementation.
- Knowledge of Linux system internals and networking.
- Financial experience across multiple asset classes, focusing on real-time low-latency trading systems for equities and futures.
- Familiarity with Python for quantitative research and data processing.
- Experience analyzing execution algorithm performance.
Salary
Variable, with the firm being a market leader in compensation, paying based on technical ability and performance rather than current earnings or experience years.
Contact
If interested or seeking more information, please contact: Sam Jenkins Email: sam.jenkins@oxfordknight.co.uk Phone: +44 (0)20 7663 2734 LinkedIn: linkedin.com/in/sam-jenkins-b517021b4
C++ LL Quant Developer, Equities - London / Amsterdam- Leading Global Hedge Fund employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ LL Quant Developer, Equities - London / Amsterdam- Leading Global Hedge Fund
✨Tip Number 1
Network with professionals in the hedge fund and quantitative development space. Attend industry conferences, meetups, or webinars where you can connect with current employees or recruiters from top-tier firms like ours. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source C++ projects. Highlighting your experience with low-latency systems and multithreading will demonstrate your capability and passion for the role, making you a more attractive candidate.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on data structures, algorithms, and C++ programming. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of problems you might face.
✨Tip Number 4
Stay updated on the latest trends in quantitative finance and technology. Reading relevant blogs, research papers, or following thought leaders on platforms like LinkedIn can help you engage in informed discussions during interviews, showcasing your enthusiasm and knowledge about the field.
We think you need these skills to ace C++ LL Quant Developer, Equities - London / Amsterdam- Leading Global Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in C++ development, particularly in low-latency systems. Emphasise your work in financial services and any relevant projects that showcase your skills in multithreading and asynchronous programming.
Craft a Strong Cover Letter: Write a cover letter that reflects your passion for quantitative development and your understanding of the hedge fund environment. Mention specific technologies and methodologies you have used that align with the job description, such as C++17/20 features and real-time system design.
Showcase Relevant Projects: Include examples of past projects or roles where you developed execution algorithms or order management systems. Highlight any achievements that demonstrate your ability to enhance platform efficiency and reduce latency.
Prepare for Technical Questions: Anticipate technical questions related to data structures, algorithms, and C++ programming. Be ready to discuss your experience with performance benchmarking and how you've optimised systems in previous roles.
How to prepare for a job interview at Oxford Knight
✨Showcase Your C++ Expertise
Be prepared to discuss your experience with C++ in detail, especially focusing on C++17 and C++20 features. Highlight specific projects where you implemented low-latency systems, as this will demonstrate your technical proficiency.
✨Understand the Financial Context
Familiarise yourself with the financial concepts relevant to equities and futures trading. Being able to discuss how your technical skills can enhance trading strategies will show that you understand the business side of the role.
✨Demonstrate Problem-Solving Skills
Prepare to tackle hypothetical scenarios or technical problems during the interview. This could involve optimising an algorithm or discussing how to reduce latency in a system, showcasing your analytical thinking and problem-solving abilities.
✨Collaborative Mindset
Since the role involves working closely with trading teams, emphasise your experience in collaborative environments. Share examples of how you've gathered requirements and developed solutions in fast-paced settings, highlighting your communication skills.
