At a Glance
- Tasks: Lead the development of market risk models and manage risk data infrastructure.
- Company: Join Scottish and Southern Electricity Networks, a leader in energy transition.
- Benefits: Enjoy performance-related bonuses and flexible working options.
- Other info: Collaborate with diverse teams in a dynamic work environment.
- Why this job: Make a real impact in the energy sector while advancing your career.
- Qualifications: Strong experience in quantitative risk modelling and advanced Python skills.
The predicted salary is between 70000 - 90000 £ per year.
Scottish and Southern Electricity Networks is seeking an experienced Energy Markets Risk Manager for its Edinburgh or Perth office. This role will lead the development of market risk models and oversee risk data infrastructure while collaborating with various teams to support SSE's energy transition.
Key qualifications include:
- Strong experience in quantitative risk modeling within energy markets
- Advanced Python skills
SSE offers attractive benefits such as performance-related bonuses and flexible working options.
Lead Energy Markets Quant Risk Manager (Modelling & Data) employer: Scottish and Southern Electricity Networks
Scottish and Southern Electricity Networks is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the energy sector. With a focus on employee growth, SSE provides opportunities for professional development alongside attractive benefits like performance-related bonuses and flexible working arrangements, making it an ideal place for those looking to make a meaningful impact in the energy transition from its vibrant offices in Edinburgh or Perth.
Contact Details:
Scottish and Southern Electricity Networks Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Energy Markets Quant Risk Manager (Modelling & Data)
✨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 quantitative risk models and any relevant projects you've worked on. This will give you an edge and demonstrate your expertise in energy markets.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to risk management and Python programming. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨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 Lead Energy Markets Quant Risk Manager (Modelling & Data)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in quantitative risk modelling and your advanced Python skills. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your expertise can contribute to SSE's energy transition and the development of market risk models. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key achievements stand out!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Scottish and Southern Electricity Networks
✨Know Your Quantitative Risk Models
Make sure you brush up on your knowledge of quantitative risk modelling, especially in the context of energy markets. Be prepared to discuss specific models you've developed or worked with, and how they can apply to SSE's needs.
✨Show Off Your Python Skills
Since advanced Python skills are a key requirement, be ready to demonstrate your proficiency. You might be asked to solve a problem or explain how you've used Python in past projects, so have some examples up your sleeve.
✨Understand SSE's Energy Transition Goals
Familiarise yourself with SSE's objectives regarding energy transition. This will not only show your interest in the company but also help you articulate how your role as a Lead Energy Markets Quant Risk Manager can contribute to these goals.
✨Prepare for Team Collaboration Questions
As this role involves collaboration with various teams, think about your past experiences working in cross-functional teams. Be ready to share examples of how you've successfully collaborated and communicated with others to achieve common goals.
