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For Companies At a Glance
- Tasks: Join a dynamic team to develop cutting-edge trading technology and tools.
- Company: Be part of a leading investment firm known for innovative research and systematic trading strategies.
- Benefits: Enjoy a competitive salary, bonuses, and generous benefits in a meritocratic environment.
- Why this job: Work on exciting projects in a collaborative start-up culture with opportunities for professional growth.
- Qualifications: 3-7+ years in development, strong Python skills, and a degree in Computer Science or Engineering.
- Other info: Contribute to impactful charity work while working alongside some of the industry's brightest minds.
Salary: up to £600k TC
Client
Research at this leading investment firm is key to continued success: based on rigorous and innovative research, they design and implement systematic, computer-driven trading strategies across multiple liquid asset classes. You’ll be exposed to all aspects of the systematic investing business; with lots of project ownership and a collaborative start-up environment, this is a fantastic place to work.
Role
They’re looking to add an exceptional Quant Developer to a small engineering team within the central research technology team. Working directly with systematic Portfolio Managers – and closely associated with their success – you’ll build, operate and evolve the tech stack through analyzing business requirements and identifying solutions.
Current work involves the firm’s build-out into High Frequency Trading, to go alongside their multi-asset, multi-strategy approach.
The ideal candidate will be ready to solve a wide variety of problems – from building intraday signal research tools, mid- & high-frequency trading, real-time market data, and beyond.
Requirements
Benefits
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.
HFT Build-out for Python Quant Developer employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HFT Build-out for Python Quant Developer
✨Tip Number 1
Network with professionals in the high-frequency trading (HFT) space. Attend industry conferences, webinars, or local meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Brush up on your Python and C++ skills by working on relevant projects or contributing to open-source initiatives. Having practical experience will not only enhance your coding abilities but also give you concrete examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in systematic investing and HFT. Read research papers, follow industry blogs, and engage with online communities to stay updated. This knowledge can set you apart during discussions with potential employers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace HFT Build-out for Python Quant Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any experience with C++. Emphasise your development experience, particularly in high-frequency trading or systematic investing, to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or experiences that demonstrate your problem-solving skills and ability to work in a collaborative environment.
Showcase Relevant Projects: If you have worked on relevant projects, whether in a professional setting or as personal endeavours, include them in your application. Highlight your contributions and the technologies used, especially those related to intraday signal research tools or real-time market data.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for any grammatical errors or typos, and ensure that your formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Skills
Make sure to highlight your strong programming skills in Python during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to quantitative analysis or trading strategies.
✨Demonstrate Problem-Solving Abilities
Since the role involves solving a variety of problems, be ready to share examples of how you've tackled complex challenges in previous positions. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand High Frequency Trading
Familiarise yourself with the principles of High Frequency Trading (HFT) and be prepared to discuss how your experience aligns with the firm's current build-out into HFT. Showing knowledge of market data and trading strategies will impress the interviewers.
✨Emphasise Collaboration and Ownership
This role involves working closely with Portfolio Managers and taking ownership of projects. Highlight your experience in collaborative environments and any instances where you've led projects or initiatives to success.
