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- Tasks: Join a dynamic team to develop research infrastructure for commodities trading.
- Company: Be part of a leading 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 tier one hedge fund environment.
- Qualifications: Strong knowledge of commodities and proficiency in Python, SQL, and AWS required.
- Other info: Ideal for those passionate about data analysis and trading development.
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 Quant Dev in London, to build out the research infra for the desk as they expand.
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.
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Commodities Trading Pod - Multi-Manager Fund - £350k
✨Tip Number 1
Familiarise yourself with the specific commodities markets, especially European Gas, Power, and Energy. Understanding the nuances of these markets 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 develop systematic trading systems and analyse time series data.
✨Tip Number 3
Network with professionals in the commodities trading space. Attend industry events or join relevant online forums to connect with traders and developers. This can provide valuable insights and potentially lead to referrals within the hedge fund.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions related to trading infrastructure. Being able to articulate your thought process and problem-solving approach will set you apart from other candidates.
We think you need these skills to ace Quantitative Developer - Commodities Trading Pod - Multi-Manager Fund - £350k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with commodities trading, systematic trading development, and your technical skills in Python, Pandas, SQL, and AWS. Use specific examples to demonstrate your expertise in these areas.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your knowledge of European Gas and your experience in building research infrastructure.
Showcase Relevant Projects: If you have worked on projects related to time series analysis or market data, be sure to include these in your application. Detail your contributions and the impact of your work to illustrate your capabilities.
Highlight Team Collaboration: Since the team has a flat structure, emphasise any previous experiences where you collaborated closely with PMs or traders. This will show that you can effectively communicate and work within a team environment.
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 systematic trading development.
✨Demonstrate Your Knowledge of Commodities
Since the role focuses on commodities like Power, Energy, and Gas, brush up on current market trends and data analysis techniques relevant to these sectors. Being able to discuss recent developments or challenges in the commodities market will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical skills. Practice coding challenges or case studies related to time series analysis and market data to demonstrate your ability to think critically under pressure.
✨Understand the Team Dynamics
Familiarise yourself with the flat structure of the team and how developers interact with PMs and traders. Be ready to discuss how you can contribute to this collaborative environment and ensure that the software systems you develop meet the specific needs of the desk.
