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- Tasks: Manage extensive datasets and support Quants and Traders in a fast-paced environment.
- Company: Join a leading tech-driven quant hedge fund with a global presence.
- Benefits: Enjoy competitive salary, generous benefits, and a relaxed work culture.
- Why this job: Be part of a creative team with excellent career growth opportunities in 2025.
- Qualifications: 2+ years experience, strong Python skills, and good communication required.
- Other info: Perfect time to apply as the firm is expanding rapidly!
The predicted salary is between 48000 - 72000 £ per year.
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 opportunities for career growth.
They are looking for a talented polyglot to be a key member of the development team, where your main focus will be managing the multiple and extensive datasets used in the research and trading platform. You will also contribute to the design and implementation of the data store and its API, monitoring fetching processes and data health, and supporting the many Quants and Traders who use the platform. 2025 is a big year of growth for this firm, making now the perfect time to apply!
Requirements- 2+ years' experience in a similar/related field
- Excellent Python knowledge is important; C# is a plus
- Strong communication skills, especially understanding user requirements
- Structured and unstructured data management expertise
- Comfortable working autonomously within a global team
- Experience with market data is highly desirable
- 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
Data Integration Specialist- Systematic Quant Fund | London, UK employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Specialist- Systematic Quant Fund | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in data integration and management, especially in the context of quantitative finance. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the quant finance space, particularly those who work with data integration. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Brush up on your Python skills and consider working on personal projects that involve data management. Being able to showcase your practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've handled structured and unstructured data in past roles. Be ready to provide specific examples that demonstrate your problem-solving abilities and your understanding of user requirements.
We think you need these skills to ace Data Integration Specialist- Systematic Quant Fund | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and programming, particularly with Python. Emphasise any projects or roles where you've worked with structured and unstructured data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your ability to manage datasets and support users, as well as your communication skills.
Showcase Technical Skills: Clearly outline your technical skills in your application. If you have experience with C# or market data, make sure to include these details, as they are highly desirable for this position.
Highlight Team Collaboration: Since the role involves working within a global team, provide examples of how you've successfully collaborated with others in previous roles. This will show your ability to work autonomously while still being a team player.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Skills
Since excellent Python knowledge is crucial for this role, be prepared to discuss your experience with Python in detail. Bring examples of projects where you've used Python to manage datasets or automate processes, and be ready to solve a coding challenge during the interview.
✨Understand Data Management
Familiarise yourself with both structured and unstructured data management techniques. Be ready to explain how you have handled different types of data in previous roles and how you would approach managing extensive datasets for the trading platform.
✨Communicate Effectively
Strong communication skills are essential, especially when understanding user requirements. Practice articulating complex technical concepts in simple terms, as you may need to explain your ideas to Quants and Traders who may not have a technical background.
✨Demonstrate Autonomy and Teamwork
This role requires working autonomously within a global team. Prepare examples that highlight your ability to work independently while also collaborating effectively with others. Discuss how you’ve contributed to team projects and supported colleagues in achieving common goals.
