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- Tasks: Build infrastructure for a leading European Gas trading team.
- Company: Join a top-tier multi-manager hedge fund with a successful commodities strategy.
- Benefits: Enjoy a flat team structure and direct interaction with PMs and traders.
- Why this job: Gain exposure to systematic trading in a dynamic and innovative environment.
- Qualifications: Strong knowledge of commodities and proficiency in Python, SQL, and AWS required.
- Other info: Ideal for those passionate about data engineering and trading.
I'm working with a multi-manager hedge fund, who have a successful commodities strategy here in Europe. One of their largest PM teams who focuses on European Gas, is looking to hire a Data Engineer to build the infra for the desk.
They need someone with excellent knowledge across commodities (Power/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data).
Stack: Python, Pandas, SQL, AWS
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 Engineer - Natural Gas Trading Team - Multi-Manager Fund - £350k 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 Engineer - Natural Gas Trading Team - Multi-Manager Fund - £350k
✨Tip Number 1
Familiarise yourself with the specific commodities market, especially natural gas trading. Understanding the nuances of this sector will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your technical skills, particularly in Python, Pandas, SQL, and AWS. Consider working on personal projects or contributing to open-source projects that showcase your ability to handle data sets relevant to systematic trading.
✨Tip Number 3
Network with professionals in the hedge fund and commodities space. Attend industry events or join online forums where you can connect with traders and data engineers to gain insights and potentially get referrals.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to data engineering and trading systems. Being able to articulate your thought process clearly will set you apart from other candidates.
We think you need these skills to ace Data Engineer - Natural Gas Trading Team - Multi-Manager Fund - £350k
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Engineer in the context of a multi-manager hedge fund. Familiarise yourself with the specific requirements related to commodities, especially in Power, Energy, and Gas.
Highlight Relevant Skills: In your CV and cover letter, emphasise your technical skills in Python, Pandas, SQL, and AWS. Provide examples of how you've used these technologies in previous roles, particularly in systematic trading development or data analysis.
Tailor Your Application: Customise your application materials to reflect the flat structure of the team. Mention any experience you have working closely with portfolio managers and traders, as this will demonstrate your ability to collaborate effectively in a dynamic environment.
Showcase Your Knowledge: Include any relevant projects or experiences that showcase your understanding of time series and market data analysis. This could be through academic work, personal projects, or previous employment, which will help you stand out as a candidate.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, Pandas, SQL, and AWS during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in relation to commodities trading.
✨Understand the Commodities Landscape
Familiarise yourself with the current trends and challenges in the commodities market, particularly in Power, Energy, and Gas. This knowledge will demonstrate your genuine interest in the field and your ability to contribute effectively.
✨Prepare for Systematic Trading Discussions
Since the role involves systematic trading development, be ready to discuss your experience with time series analysis and market data. Think of examples where you've successfully implemented data-driven strategies.
✨Emphasise Collaboration Skills
Given the flat structure of the team, it's crucial to convey your ability to work closely with PMs and traders. Share experiences that showcase your teamwork and communication skills, as this will be key in creating bespoke software systems.
