At a Glance
- Tasks: Conduct research to generate alpha ideas in a dynamic Energy trading team.
- Company: Prestigious hedge fund with a focus on innovative trading strategies.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Exciting role with a chance to work alongside experienced professionals.
- Why this job: Join a leading firm and make an impact in the commodities market.
- Qualifications: 5 years in commodities quant research, strong Python skills, and relevant degree.
The predicted salary is between 70000 - 90000 £ per year.
Our client, a prestigious hedge fund is looking to hire a Commodities Quant researcher to join its growing Energy trading team in London. Working closely with an experienced Energy PM you will be very much involved in alpha generation ideas through your research in a highly quant/semi-systematic environment.
Experience required:
- Ideally 5 years experience in commodities quant research
- Broad knowledge of asset classes including energy
- Experienced in developing supply and demand models
- Have proven alpha generation experience
- Excellent python programming experience
- Relevant degree in maths/physics/science
Commodities Quantitative Researcher in London employer: Aurum Search Limited
Join a prestigious hedge fund in London that values innovation and excellence, offering a dynamic work culture where your contributions directly impact alpha generation in the Energy trading team. With a strong emphasis on employee growth, you will have access to mentorship from experienced professionals and opportunities to develop your skills in a collaborative environment. Enjoy competitive benefits and the unique advantage of working in one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Commodities Quantitative Researcher in London
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We think you need these skills to ace Commodities Quantitative Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Aurum Search Limited
✨Brush Up on Your Statistics
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