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- Tasks: Join a dynamic team as a C++ Quant Developer, impacting trading success directly.
- Company: Be part of a leading tech-driven quant hedge fund with global offices.
- Benefits: Enjoy competitive salary, generous benefits, and a relaxed work culture.
- Why this job: Tackle exciting technical challenges in algorithmic trading and grow your career.
- Qualifications: Strong Computer Science background and 3+ years in finance with excellent C++ skills required.
- Other info: Collaborative environment valuing your input and promoting work-life balance.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent scope for career growth.
Looking for a C++ developer to join the Quant Dev team. You'll work within a trading desk with a direct and immediate impact on the desk's success. Working closely with traders and researchers, this role offers exposure to many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing)
The successful candidate will enjoy taking ownership of projects from an idea through to completed solution. You can expect opportunities to solve hard technical challenges critical to the desk's success.
Requirements
- Strong academic background, ideally in Computer Science
- 3+ years' experience in finance
- Fantastic C++ skills that you are using currently (Python experience highly desirable)
- Good understanding of what is happening 'under the hood' – be it CPU, memory, OS, network, etc.
- Outstanding communication skills suitable for a dynamic, fast-paced environment
Preferred
- Low latency experience
- Good low-level knowledge would be ideal
Benefits
- Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
- Competitive salary + generous benefits
- Professional and personal development
- Relaxed, casual culture, with a healthy work-life balance
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you think you are a strong match for this job description, please do not hesitate to get in touch!
Amy Gandhi
amy.gandhi@oxfordknight.co.uk
Tel: +44 (0) 203 475 5019
linkedin.com/in/amy-gandhi-122b55109
C++ Quant Developer (Trade Execution)- Systematic Quant Fund employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Quant Developer (Trade Execution)- Systematic Quant Fund
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and low-latency systems. Understanding the nuances of how these systems operate will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the quant finance space, especially those who work with C++. Attend relevant meetups or online webinars to connect with industry insiders. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your problem-solving skills by tackling coding challenges that focus on C++ and low-level programming concepts. Websites like LeetCode or HackerRank can be great resources to practice and showcase your technical abilities.
✨Tip Number 4
Prepare to discuss your past projects in detail, especially those that involved C++ and any experience with low-latency systems. Be ready to explain your thought process and the impact your contributions had on the project's success.
We think you need these skills to ace C++ Quant Developer (Trade Execution)- Systematic Quant Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ skills and relevant experience in finance. Emphasise any projects where you've worked on low-latency systems or algorithmic trading, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative development and how your background aligns with the company's focus on tech-driven trading. Mention specific experiences that demonstrate your problem-solving abilities and ownership of projects.
Showcase Technical Skills: Include a section in your application that details your technical skills, particularly in C++ and any experience with Python. Highlight your understanding of system performance aspects like CPU, memory, and network, as this is important for the role.
Prepare for Technical Questions: Anticipate technical questions related to C++ and low-level programming during the interview process. Brush up on your knowledge of algorithms, data structures, and system design to impress the hiring team.
How to prepare for a job interview at Oxford Knight
✨Showcase Your C++ Expertise
Make sure to highlight your current C++ skills during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in a finance context. This will demonstrate your technical proficiency and relevance to the role.
✨Understand the Trading Environment
Familiarise yourself with algorithmic trading concepts and the importance of low-latency systems. Being able to discuss how these elements impact trading performance will show that you understand the business side of the role, not just the technical aspects.
✨Communicate Effectively
Outstanding communication skills are crucial in a fast-paced environment. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate closely with traders and researchers who may not have a technical background.
✨Demonstrate Problem-Solving Skills
Be ready to discuss past challenges you've faced in your projects and how you overcame them. This could include technical hurdles or project management issues. Showing your ability to take ownership and drive solutions will resonate well with the interviewers.
