At a Glance
- Tasks: Lead quantitative risk model development and manage a dynamic team in energy trading.
- Company: Join SSE plc, a leader in energy markets with a focus on innovation.
- Benefits: Enjoy flexible working patterns and a comprehensive benefits package for your wellbeing.
- Other info: Collaborative environment with opportunities for professional growth and influence.
- Why this job: Make a real impact in energy trading while developing cutting-edge risk capabilities.
- Qualifications: Strong quantitative skills, advanced Python expertise, and experience with data frameworks.
The predicted salary is between 60000 - 80000 £ per year.
SSE plc is seeking an experienced Energy Markets Risk Manager to lead quantitative risk model development and manage a team in Edinburgh or Perth. The role emphasizes communication with stakeholders and building innovative risk capabilities, influencing decision-making in energy trading.
The ideal candidate will have strong quantitative skills, advanced Python expertise, and experience with data frameworks. SSE offers a flexible working pattern and a benefits package to support employee wellbeing.
Energy Risk Lead - Quant Modelling & Data employer: SSE PLC
SSE plc is an excellent employer, offering a dynamic work environment in either Edinburgh or Perth, where innovation and collaboration thrive. With a strong focus on employee wellbeing, flexible working patterns, and opportunities for professional growth, SSE empowers its team to influence key decisions in energy trading while developing cutting-edge risk capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Risk Lead - Quant Modelling & Data
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector, especially those who work at SSE or similar companies. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got advanced Python expertise, consider creating a small project or a portfolio piece that showcases your quantitative skills. This can be a great conversation starter during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of risk modelling and data frameworks. We all know that being able to communicate complex ideas clearly is key, so practice explaining your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the SSE team.
We think you need these skills to ace Energy Risk Lead - Quant Modelling & Data
Some tips for your application 🫡
Show Off Your Quant Skills:Make sure to highlight your quantitative skills in your application. We want to see how you've used these skills in past roles, especially in energy markets or risk management. Don't hold back on showcasing your advanced Python expertise!
Tailor Your Application:Take a moment to tailor your CV and cover letter to the job description. We love seeing candidates who understand what we're looking for, so make it clear how your experience aligns with the role of Energy Risk Lead.
Communicate Clearly:Since this role involves a lot of stakeholder communication, it's crucial to demonstrate your ability to convey complex ideas simply. Use clear language in your application to show us you can influence decision-making effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at SSE PLC
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills before the interview. Be ready to discuss your experience with risk modelling and how you've applied these skills in previous roles. SSE is looking for someone who can lead model development, so be prepared to showcase your expertise in this area.
✨Show Off Your Python Skills
Since advanced Python expertise is a must-have for this role, make sure you can talk about your experience with Python in detail. Bring examples of projects where you've used Python for data analysis or modelling. If you can demonstrate your coding skills during the interview, it’ll definitely give you an edge.
✨Communicate Like a Pro
This role involves a lot of communication with stakeholders, so practice articulating complex ideas clearly and concisely. Think about how you can explain your quantitative models to someone without a technical background. Being able to influence decision-making through effective communication will be key.
✨Understand the Energy Market
Familiarise yourself with current trends and challenges in the energy market. SSE is focused on innovative risk capabilities, so being able to discuss how you can contribute to that vision will impress the interviewers. Show them that you’re not just a numbers person, but someone who understands the bigger picture.
