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 in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to people in the commodities and trading space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those related to time series or market data. This will give you an edge during interviews.
✨Tip Number 3
Get familiar with the tech stack! Brush up on Python, AWS, and ETL processes. Being able to discuss these tools confidently will impress the hiring team.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with top-tier hedge funds. Plus, it shows you're serious about landing that Data Scientist role.
We think you need these skills to ace Data Scientist - Commodities - Quant Hedge Fund in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with commodities and systematic trading. We want to see how your skills in Python, AWS, and data analysis fit into the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the commodities sector and how your background aligns with our needs. Let us know what excites you about working in a flat structure with PMs and traders.
Showcase Your Technical Skills: Since we’re looking for someone technically savvy, make sure to highlight your experience with ETL processes and tools like Airflow. We want to see examples of how you’ve used these in past roles or projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our team!
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 demo or code snippet 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. This will highlight your ability to contribute to their bespoke software systems.
✨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 work alongside them to create tailored solutions. This will help you stand out as a team player.
