Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build research infrastructure and models for commodities trading.
- Company: Join a top-tier multi-manager hedge fund in London.
- Benefits: Gain exposure to systematic trading and work with cutting-edge technologies.
- Why this job: Be part of a flat team structure, collaborating directly with PMs and traders.
- Qualifications: Experience in commodities and proficiency in Python, AWS, ETL, and Airflow.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
I'm working with a multi-manager hedge fund, who have multiple successful commodities strategies here in Europe. One of their largest PM teams who focuses on European Gas is looking to hire a Data Scientist in London to build out the research infrastructure and models for the desk as they expand.
They need someone with exposure to commodities (Power/Energy/Gas), who is technically well versed in systematic trading development and analysis of data sets (time series, market data).
Stack: Python, AWS, ETL, Airflow
The team has a flat structure, where developers are interfaced with PMs and traders to ensure the software systems created are bespoke. If you're looking to join a tier one hedge fund and gain excellent exposure to systematic trading, then please do apply.
Data Scientist - Commodities - Quant Hedge Fund employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Commodities - Quant Hedge Fund
✨Tip Number 1
Network like a pro! Reach out to people in the commodities and trading space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to systematic trading, especially those using Python and AWS. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of time series analysis and market data. Be ready to discuss how you've tackled similar challenges in the past. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist - Commodities - Quant Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role in commodities. Highlight your experience with Python, AWS, and any relevant exposure to Power, Energy, or Gas. We want to see how your skills fit into our world!
Showcase Your Projects: Include specific projects where you've built research infrastructure or worked on systematic trading development. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're interested in this role and how your background aligns with our needs. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Commodities
Make sure you brush up on your knowledge of commodities, especially in Power, Energy, and Gas. Be prepared to discuss recent market trends and how they might impact trading strategies. This shows that you're not just technically savvy but also understand the industry.
✨Showcase Your Technical Skills
Since the role requires expertise in Python, AWS, ETL, and Airflow, be ready to demonstrate your proficiency in these areas. Bring examples of past projects where you've used these technologies, and if possible, prepare a small coding challenge to showcase your skills.
✨Understand Systematic Trading
Familiarise yourself with systematic trading development and how data analysis plays a role in it. Be prepared to discuss how you would approach building research infrastructure and models for the desk, as this will highlight your strategic thinking and problem-solving abilities.
✨Engage with the Team Structure
Since the team has a flat structure, show that you can communicate effectively with PMs and traders. Prepare questions that demonstrate your interest in collaboration and how you can contribute to bespoke software systems. This will help you stand out as a team player who values input from all levels.
