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- Tasks: Build research infrastructure and models for commodities trading.
- Company: Tier one multi-manager hedge fund with a flat structure.
- Benefits: Gain exposure to systematic trading and work with top professionals.
- Why this job: Join a leading hedge fund and make an impact in the commodities market.
- Qualifications: Experience in commodities and strong skills in Python and data analysis.
- Other info: Collaborative 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 City of London 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 City of London
✨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 a CV just 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
Practice makes perfect! Brush up on your Python and AWS skills, and be ready to tackle technical questions or coding challenges during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at the hedge fund. We’re rooting for you!
We think you need these skills to ace Data Scientist - Commodities - Quant Hedge Fund in City of London
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 commodities and how your background aligns with our needs. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since we’re looking for someone technically savvy, make sure to mention your experience with ETL processes and tools like Airflow. We want to know how you’ve used these in past roles to solve real-world problems.
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 the role. Plus, it shows you’re keen on joining 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 trends and how they impact trading strategies. This will show that you’re not just technically savvy but also understand the market context.
✨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, as this is crucial for the role.
✨Engage with the Team Structure
Since the team has a flat structure, be ready to discuss how you would collaborate with PMs and traders. Think about how you can contribute to creating bespoke software systems and be prepared to share your thoughts on effective communication and teamwork in such an environment.
