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- Tasks: Support risk management in power and gas by developing quantitative models.
- Company: Leading energy company in the UK with a focus on innovation.
- Benefits: Collaborative environment, autonomy, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the energy sector.
- Qualifications: Strong analytical skills, experience with Python and SQL required.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy company in the UK is looking for a motivated Quantitative Risk Analyst to join the Market Risk team. You will work closely with trading teams and engineers to support risk management across power and gas.
The ideal candidate will have strong analytical skills, professional experience with Python and SQL, and the ability to develop quantitative models for risk management. This role offers a collaborative environment, with a focus on innovation and autonomy.
Energy Markets Quantitative Risk Analyst employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Markets Quantitative Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy 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! Prepare a portfolio showcasing your analytical projects, especially those involving Python and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Practice makes perfect! Brush up on your quantitative modelling skills and be ready to discuss your thought process during interviews. We recommend running through some common risk management scenarios to get comfortable.
✨Tip Number 4
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 Energy Markets Quantitative Risk Analyst
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical skills in your application. We want to see how you've used these skills in past roles, especially if you've worked with quantitative models for risk management.
Demonstrate Your Technical Expertise: Since Python and SQL are key for this role, don’t forget to mention any relevant experience you have with these tools. We love seeing specific examples of how you've applied them in real-world scenarios.
Tailor Your Application: Take the time to tailor your CV and cover letter to the job description. We appreciate when candidates show us they understand the role and how their background fits into our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Octopus Energy
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific quantitative models you've developed. Be prepared to explain how these models can be applied to risk management in energy markets, especially in power and gas.
✨Showcase Your Coding Skills
Since the role requires professional experience with Python and SQL, make sure you can talk about your past projects involving these languages. Consider preparing a small coding challenge or example that demonstrates your proficiency and problem-solving abilities.
✨Understand the Market
Familiarise yourself with current trends and challenges in the energy market. Being able to discuss recent developments or regulatory changes will show your genuine interest in the field and your ability to think critically about risk management.
✨Emphasise Collaboration
This role involves working closely with trading teams and engineers, so highlight any past experiences where you've successfully collaborated in a team setting. Share examples of how you contributed to a project and how you value input from others to drive innovation.
