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- Tasks: Join a dynamic team to develop trading systems and backtesting tools for global equity strategies.
- Company: Work with one of the world's most prestigious hedge funds, known for innovation and excellence.
- Benefits: Enjoy a competitive salary, bonuses, and a collaborative, fast-paced work environment.
- Why this job: Be part of an entrepreneurial team, making a real impact in high-frequency trading.
- Qualifications: 3-5+ years in algorithmic trading, strong KDB/Q and Python skills, STEM degree required.
- Other info: Opportunity to mentor junior developers and work with top engineers in the industry.
The predicted salary is between 43200 - 72000 £ per year.
One of the world’s most prestigious hedge funds is looking for a Quant Developer to be a founding member of one of their high-frequency systematic equities pods. This is a high impact role, within a small, entrepreneurial team, where you will develop systematic backtesting, visualization/analyzing and a trading platform for global equity strategies. To do this, you’ll collaborate with the senior PM and the team, implementing an efficient backtester tool for both simulation and live trading. You’ll also design and implement trading systems, ensuring reliability, scalability, and timely execution, as well as sharing knowledge and promoting best practices in mentorship to junior developers. The successful Quant Developer will be a fantastic problem-solver with strong analytical skills, with the ability to quickly understand and apply complex concepts.
Skills and Experience Required:
- 3-5+ years’ experience in developing algorithmic trading systems, preferably in systematic equity trading markets
- Substantial KDB/Q and Python programming experience
- Good knowledge of modern data science tools stacks, e.g. Jupyter, pandas, numpy, sklearn, with ML experience
- Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-tier university
- Good understanding of using Slurm or similar parallel computing tools
Benefits & Incentives:
- Significant salary + bonus + benefits
- Dynamic, fast-paced environment; excellent career growth opportunities
- Collaborative culture and an energetic, dynamic engineering atmosphere
- Build and share knowledge with the smartest engineers in the industry
KDB / Python Lead Quant Developer – Systematic Equities | London/Dubai employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land KDB / Python Lead Quant Developer – Systematic Equities | London/Dubai
✨Tip Number 1
Network with professionals in the finance and tech industries, especially those who work in algorithmic trading. Attend relevant meetups or conferences to connect with potential colleagues and learn more about the latest trends in systematic equities.
✨Tip Number 2
Showcase your KDB/Q and Python skills through personal projects or contributions to open-source platforms. This not only demonstrates your technical abilities but also your passion for the field, making you a more attractive candidate.
✨Tip Number 3
Familiarise yourself with modern data science tools and frameworks like Jupyter, pandas, and sklearn. Consider taking online courses or certifications to enhance your knowledge and make sure you're up-to-date with the latest technologies used in quantitative development.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of challenges you've faced in previous roles and how you overcame them, particularly in the context of developing trading systems.
We think you need these skills to ace KDB / Python Lead Quant Developer – Systematic Equities | London/Dubai
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in algorithmic trading systems, particularly in systematic equity trading. Emphasise your KDB/Q and Python programming skills, as well as any relevant data science tools you've used.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the job requirements, particularly your problem-solving abilities and experience in developing trading systems.
Showcase Relevant Projects: If you have worked on projects related to backtesting, trading platforms, or data analysis, be sure to include these in your application. Provide specific examples of your contributions and the impact they had.
Highlight Educational Background: Mention your degree in Computer Science, Mathematics, Statistics, or a related field prominently. If you graduated from a top-tier university, make sure to note this, as it aligns with the company's expectations.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Be prepared to discuss your experience with KDB/Q and Python in detail. Bring examples of past projects where you've developed algorithmic trading systems, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your analytical skills. Practice solving complex problems on the spot, as this role requires quick thinking and a strong grasp of quantitative concepts.
✨Familiarise Yourself with Data Science Tools
Brush up on modern data science tools like Jupyter, pandas, and sklearn. Be ready to discuss how you've used these tools in previous roles, especially in relation to machine learning and data analysis.
✨Emphasise Collaboration and Mentorship
This position involves working closely with a team and mentoring junior developers. Prepare examples of how you've collaborated in the past and any experience you have in guiding others, as this will demonstrate your fit for the collaborative culture.
