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- Tasks: Join a macro trading pod to develop quant signals and algorithms using Python.
- Company: Oxford Knight is a prestigious global hedge fund known for its success and innovation.
- Benefits: Enjoy a competitive salary, strong bonuses, and a positive work culture.
- Why this job: Make a real impact on trading decisions in a small, dynamic team.
- Qualifications: Strong Python skills and a passion for data-driven decision making are essential.
- Other info: This role offers greenfield projects and the chance to work with massive datasets.
The predicted salary is between 144000 - 176000 £ per year.
Unique opportunity for a Data Scientist / data-heavy Quant to join one of the world's most prestigious and successful hedge funds. The successful candidate will join a small macro trading pod, working directly with the Portfolio Manager and will directly impact trading decisions and the bottom line of money-making.
This role will involve:
- Developing and testing quant signals and algorithms (typically Python)
- Feeding signals through the PM's models to monetise them
- Working on massive datasets
- A wide range of signals: from standard technical signals (price / volume), all the way through to more unusual signals, e.g. "hotel wifi connections" to estimate occupancy, etc.
Benefits & Incentives:
- Significant salary + potential for very strong bonuses as will be tied to the profits made from your input
- Greenfield work / big impact in a small team
- Positive, friendly culture and rewarding place to work
Whilst we carefully review all applications, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Data Scientist / Quant (Macro Trading Pod)- Global Hedge Fund | London, UK employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Quant (Macro Trading Pod)- Global Hedge Fund | London, UK
✨Tip Number 1
Familiarise yourself with the specific algorithms and quant models used in macro trading. Understanding these concepts will allow you to engage in meaningful conversations during interviews and demonstrate your expertise.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those working in macro trading. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Stay updated on current market trends and economic indicators that influence macro trading. Being able to discuss recent developments will show your passion for the field and your readiness to contribute to the team.
✨Tip Number 4
Prepare to showcase your technical skills, particularly in Python, through practical examples or projects. Having a portfolio of relevant work can set you apart and demonstrate your ability to handle the data-heavy aspects of the role.
We think you need these skills to ace Data Scientist / Quant (Macro Trading Pod)- Global Hedge Fund | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and quantitative analysis. Focus on projects where you've developed algorithms or worked with large datasets, especially using Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for macro trading and your understanding of the hedge fund industry. Mention specific skills that align with the job description, such as your experience with quant signals and algorithm development.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in Python and any other relevant programming languages. Include examples of how you've applied these skills in previous roles or projects.
Highlight Impactful Contributions: Discuss any previous work where your contributions directly impacted trading decisions or financial outcomes. Use quantifiable results to demonstrate your effectiveness and potential value to the trading pod.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any experience you have with developing quant signals or algorithms. Be prepared to discuss specific projects where you've successfully applied these skills, as this role heavily relies on technical expertise.
✨Understand the Macro Trading Environment
Familiarise yourself with macro trading concepts and how they influence market movements. Being able to discuss current trends and how they might impact trading decisions will demonstrate your knowledge and enthusiasm for the role.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when tackling complex datasets or developing trading strategies, as this will be crucial in a fast-paced trading environment.
✨Emphasise Team Collaboration
Since you'll be working closely with the Portfolio Manager and a small team, it's important to convey your ability to collaborate effectively. Share examples of past experiences where teamwork led to successful outcomes, highlighting your communication skills and adaptability.
