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- Tasks: Develop and execute trading strategies in the European power market.
- Company: International energy company with a focus on innovation.
- Benefits: Competitive salary and hybrid working flexibility.
- Why this job: Join a dynamic team and optimise power asset fleets for real impact.
- Qualifications: Strong background in quantitative analysis and expertise in Python and C++.
- Other info: Collaborate with fundamental traders in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
An international energy company is seeking an Intraday Power Quant Trader to develop and execute trading strategies in the European power market. You will collaborate with fundamental traders to maximize efficiency and optimize power asset fleets. The role requires a strong background in quantitative analysis and trading algorithms, with expertise in Python and C++. The position offers a competitive salary and hybrid working flexibility.
Intraday Power Quant Trader — Real-Time Markets & Execution employer: SEFE Group
Contact Detail:
SEFE Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intraday Power Quant Trader — Real-Time Markets & Execution
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy trading sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative analysis projects and trading algorithms. This is your chance to demonstrate your expertise in Python and C++—make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of the European power market and be ready to discuss your trading strategies. We recommend practising with friends or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Intraday Power Quant Trader — Real-Time Markets & Execution
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your quantitative analysis experience in your application. We want to see how you've used data to drive trading strategies, so don’t hold back on those Python and C++ skills!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to intraday trading and collaboration with fundamental traders, as it shows us you understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re the perfect fit for the Intraday Power Quant Trader position.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at SEFE Group
✨Know Your Quantitative Stuff
Brush up on your quantitative analysis skills and be ready to discuss specific trading algorithms you've worked with. Make sure you can explain how these algorithms can optimise power asset fleets in real-time markets.
✨Show Off Your Coding Skills
Since expertise in Python and C++ is crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to trading strategies beforehand.
✨Understand the Market Dynamics
Familiarise yourself with the European power market and current trends. Being able to discuss recent market movements or regulatory changes will show that you're not just a numbers person but also understand the broader context of your work.
✨Collaborative Mindset
This role involves working closely with fundamental traders, so be prepared to discuss how you approach collaboration. Share examples of past experiences where teamwork led to successful trading outcomes, highlighting your communication skills.
