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- Tasks: Join a dynamic team to design and implement trading strategies using advanced quantitative techniques.
- Company: A boutique hedge fund in London focused on systematic macro trading across major asset classes.
- Benefits: Enjoy a collaborative environment with opportunities for innovation and direct impact on portfolio performance.
- Why this job: Be part of a high-performing team where your research shapes trading strategies and market success.
- Qualifications: Strong background in quantitative disciplines; programming skills in Python are essential.
- Other info: Ideal for those passionate about finance and data analysis, with a chance to work in a cutting-edge field.
The predicted salary is between 43200 - 72000 £ per year.
We are working with a boutique hedge fund in London that is expanding its systematic macro team. They are looking for a Portfolio Manager with a proven track record in systematic macro research or trading, particularly across futures and FX markets. This is a unique opportunity to join a high-performing team where your research and strategies will directly impact portfolio construction and returns.
The Opportunity:
- Join a systematic global macro fund focused on trading across major asset classes using futures and FX.
- Play a key role in the research and implementation of high-conviction, alpha-generating trading strategies.
- Contribute to the continued innovation and refinement of the team’s trading models using advanced quantitative techniques.
- Collaborate closely with other researchers and developers in a flat, intellectually rigorous environment.
- Take strategies from concept to live execution and performance monitoring.
Key Responsibilities:
- Design, research, and deploy systematic strategies across global macro asset classes with a focus on short- to medium-term trading horizons.
- Use statistical, econometric, or machine learning methods to identify persistent inefficiencies and develop predictive signals.
- Backtest and validate strategies on large and diverse datasets, ensuring robustness, scalability, and risk control.
- Continuously monitor and optimise existing models in response to evolving market dynamics.
- Work closely with engineering teams to integrate models into the live trading infrastructure.
Candidate Requirements:
- A strong academic background in a quantitative discipline such as Finance, Mathematics, Computer Science, Engineering, or Physics.
- Proven track record in developing and implementing successful systematic macro strategies.
- Fluency in programming languages such as Python; experience with SQL and/or C# is advantageous.
- Familiarity with short-term or intraday models is a plus.
- Must have the right to work in the UK.
If this opportunity aligns with your experience and interests, please send your CV in WORD format to quantresearch@octaviusfinance.com.
Researcher (Data Analysis) employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher (Data Analysis)
✨Tip Number 1
Network with professionals in the hedge fund industry, especially those involved in systematic macro trading. Attend relevant conferences or webinars to meet potential colleagues and learn about the latest trends in data analysis.
✨Tip Number 2
Showcase your programming skills by working on personal projects or contributing to open-source initiatives related to quantitative finance. This will not only enhance your portfolio but also demonstrate your practical experience with Python and other relevant languages.
✨Tip Number 3
Stay updated on market trends and economic indicators that affect futures and FX markets. Being knowledgeable about current events will help you engage in meaningful conversations during interviews and show your passion for the field.
✨Tip Number 4
Prepare to discuss your previous research and strategies in detail. Be ready to explain your thought process, the methodologies you used, and the outcomes of your work, as this will highlight your expertise and fit for the role.
We think you need these skills to ace Researcher (Data Analysis)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in systematic macro research or trading, particularly in futures and FX markets. Use specific examples of successful strategies you've developed or implemented.
Showcase Quantitative Skills: Emphasise your strong academic background in quantitative disciplines. Include any relevant coursework or projects that demonstrate your proficiency in statistical, econometric, or machine learning methods.
Programming Proficiency: Clearly outline your programming skills, especially in Python. If you have experience with SQL or C#, mention it as an advantage. Consider including a brief project or example where you applied these skills.
Express Your Interest: In your cover letter, convey your enthusiasm for the role and the opportunity to contribute to a high-performing team. Discuss how your background aligns with their focus on innovation and performance monitoring.
How to prepare for a job interview at Octavius Finance
✨Showcase Your Quantitative Skills
Make sure to highlight your academic background and any relevant experience in quantitative disciplines. Be prepared to discuss specific projects or research you've conducted that demonstrate your ability to develop systematic macro strategies.
✨Demonstrate Programming Proficiency
Since fluency in programming languages like Python is crucial, be ready to discuss your coding experience. You might even be asked to solve a problem on the spot, so brush up on your skills and be confident in showcasing your technical abilities.
✨Discuss Market Insights
Prepare to talk about recent market trends and how they could impact trading strategies. Showing that you stay informed about the FX and futures markets will demonstrate your passion and understanding of the field.
✨Emphasise Collaboration
This role involves working closely with other researchers and developers, so be sure to convey your teamwork skills. Share examples of how you've successfully collaborated in the past, especially in intellectually rigorous environments.
