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- Tasks: Develop and optimise high-frequency trading systems for peak performance.
- Company: Join an elite algorithmic market-making firm known for cutting-edge technology.
- Benefits: Enjoy hybrid working options and a competitive salary with bonuses.
- Why this job: Work in a fast-paced environment where your contributions directly impact success.
- Qualifications: Bachelor’s or Master’s in Computer Science; 2+ years in C++, Python, or Java required.
- Other info: Collaborate with top professionals and handle massive data volumes in real-time.
The predicted salary is between 120000 - 200000 £ per year.
My client are seeking a talented Software Engineer who will play a critical role in developing and optimizing high-frequency trading systems, ensuring they operate at peak performance with minimal latency. This is an opportunity to work in a fast-paced, intellectually challenging environment where your contributions will have a direct impact on the firm's success.
They pride themselves on working with the most cutting edge technologies and boast a world class technical team where you will work and learn from the best.
As a Software Engineer you will have the following responsibilities:
- Design, develop, and maintain high-performance trading applications.
- Performance tuning of state of the art trading systems - optimise code for maximum speed and efficiency, minimising latency.
- Implement and enhance trading algorithms in collaboration with quantitative researchers and traders.
- Handle large volumes of market data in real-time, ensuring accurate and fast data ingestion, processing, and storage to feed trading algorithms.
Your experience will include:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 2+ years of professional development experience as a Software Engineer in either C++, Python or Java.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with multi-threaded programming and real-time systems (C++/Java).
- Experience writing software for massive scale (Up to 100s billions of records at a time!).
- Proficiency in Linux/Unix environments.
- Strong communication skills - this is a position where you will liaise with Senior Stakeholders such as PMs, Quants and Traders.
If you are a talented Software Engineer and satisfy the above requirements, please apply to have your CV considered or email rdelaney@hunterbond.com for more information. Remote working/work at home options are available for this role.
Software Engineer - Hybrid working - £150,000 - £500,000 Base (+ Bonus) employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Hybrid working - £150,000 - £500,000 Base (+ Bonus)
✨Tip Number 1
Familiarise yourself with high-frequency trading systems and the specific technologies used in this field. Understanding the nuances of performance tuning and low-latency programming will give you an edge during discussions.
✨Tip Number 2
Network with professionals in algorithmic trading and software engineering. Attend relevant meetups or online forums to connect with industry experts, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your knowledge of data structures and algorithms, as these are crucial for optimising trading applications. Be prepared to discuss how you've applied these concepts in your previous work during interviews.
✨Tip Number 4
Showcase your experience with multi-threaded programming and real-time systems. Prepare examples of projects where you've successfully handled large volumes of data, as this will demonstrate your capability to thrive in a fast-paced environment.
We think you need these skills to ace Software Engineer - Hybrid working - £150,000 - £500,000 Base (+ Bonus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++, Python, or Java, as well as your understanding of data structures and algorithms. Emphasise any relevant projects or roles that showcase your skills in high-performance applications and real-time systems.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of high-frequency trading systems. Mention specific experiences where you optimised code for performance or collaborated with quantitative researchers.
Showcase Relevant Projects: If you have worked on projects involving multi-threaded programming or handling large volumes of data, be sure to include these in your application. Detail your contributions and the technologies used to give a clear picture of your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in a fast-paced environment like algorithmic trading.
How to prepare for a job interview at Hunter Bond
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++, Python, or Java in detail. Highlight specific projects where you optimised performance or developed high-frequency trading systems, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Trading Environment
Familiarise yourself with the basics of algorithmic trading and market making. Being able to speak knowledgeably about how trading algorithms work and the importance of minimising latency will impress your interviewers and show your genuine interest in the field.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on data structures, algorithms, and multi-threaded programming concepts. Practising coding problems related to real-time systems can help you think on your feet and demonstrate your problem-solving skills.
✨Communicate Effectively
Since this role involves liaising with senior stakeholders, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, and be ready to discuss how you would collaborate with quants and traders to enhance trading algorithms.
