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- Tasks: Manage extensive datasets and support Quants and Traders in a fast-paced environment.
- Company: Join a leading tech-driven hedge fund with a global presence and a focus on innovation.
- Benefits: Enjoy competitive salary, generous benefits, and a relaxed work culture with great work-life balance.
- Why this job: Be part of a collaborative team during a significant growth phase in 2025.
- Qualifications: 2+ years experience, excellent Python skills, and strong communication abilities required.
- Other info: Opportunity for professional development and to make a real impact in the trading world.
The predicted salary is between 36000 - 60000 £ 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.
2026 is a big year of growth for this firm, making now the perfect time to apply!
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.
Data Integration Specialist employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Specialist
✨Tip Number 1
Familiarise yourself with the specific datasets and technologies used in hedge fund trading. Understanding how data integration works in this context will help you stand out during discussions with the team.
✨Tip Number 2
Brush up on your Python skills, as it's crucial for this role. Consider working on personal projects or contributing to open-source projects that involve data management to showcase your expertise.
✨Tip Number 3
Network with professionals in the finance and tech sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture and expectations.
✨Tip Number 4
Prepare to discuss your experience with both structured and unstructured data management. Be ready to provide examples of how you've successfully handled data challenges in previous roles.
We think you need these skills to ace Data Integration Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and programming, particularly with Python. Include specific projects or roles that demonstrate your expertise in handling structured and unstructured data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of their focus on data-driven trading and how your skills align with their needs, especially your experience with market data.
Showcase Communication Skills: Since strong communication skills are essential, provide examples in your application of how you've successfully understood user requirements and collaborated with teams. This could be through specific projects or experiences.
Highlight Relevant Experience: Clearly outline your 2+ years of experience in a similar field. If you have experience working autonomously within a global team, make sure to mention this as it aligns with the company's work culture.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any knowledge of C#. Be prepared to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand Data Management
Since the role involves managing extensive datasets, brush up on your structured and unstructured data management skills. Be ready to explain your approach to data health monitoring and how you've supported users in previous roles.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between technical and non-technical team members.
✨Research the Company
Familiarise yourself with the firm's trading strategies and market data usage. Understanding their business model and recent developments will show your genuine interest in the company and help you tailor your responses during the interview.
