At a Glance
- Tasks: Lead the development of quantitative market risk models in the energy sector.
- Company: Join SSE plc, a leader in energy markets with a focus on innovation.
- Benefits: Enjoy flexible work patterns and discounts on health services.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make a real impact in energy markets while developing your skills.
- Qualifications: Strong understanding of energy markets and advanced Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
SSE plc is seeking an experienced Energy Markets Risk Manager based in Scotland. This role involves leading the development of quantitative market risk models and ensuring robust risk reporting across the business.
The ideal candidate will have a strong understanding of energy markets, advanced Python skills, and a proven ability to communicate complex ideas effectively.
Flexible work patterns and numerous benefits, including discounts on health services, are offered.
Energy Markets Quant Risk Lead – Flexible Hybrid in Glasgow employer: SSE PLC
SSE plc is an excellent employer, offering a dynamic work environment in Scotland where innovation meets flexibility. With a strong commitment to employee growth, we provide numerous benefits including health service discounts and the opportunity to lead impactful projects in energy markets. Our collaborative culture encourages open communication and values the contributions of every team member, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Markets Quant Risk Lead – Flexible Hybrid in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy markets sector on LinkedIn. Join relevant groups and engage in discussions to showcase your knowledge and passion for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding market risk models. We recommend practising common interview questions related to quantitative analysis and risk management to boost your confidence.
✨Tip Number 3
Showcase your communication skills! During interviews, be ready to explain complex ideas in simple terms. This will demonstrate your ability to convey important information effectively, which is crucial for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities tailored to your skills and interests.
We think you need these skills to ace Energy Markets Quant Risk Lead – Flexible Hybrid in Glasgow
Some tips for your application 🫡
Show Your Energy Market Savvy:When you're writing your application, make sure to highlight your understanding of energy markets. We want to see how your experience aligns with the role, so don’t hold back on sharing relevant projects or insights you've gained in this area.
Python Proficiency is Key:Since advanced Python skills are a must-have for this role, be sure to showcase your coding experience. Include specific examples of how you've used Python in quantitative risk modelling or data analysis to demonstrate your technical prowess.
Communicate Clearly:We value effective communication, especially when it comes to complex ideas. Use your application to illustrate how you've successfully conveyed intricate concepts in the past, whether through reports, presentations, or team discussions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details about the benefits we offer, including those sweet health service discounts!
How to prepare for a job interview at SSE PLC
✨Know Your Energy Markets
Make sure you brush up on your knowledge of energy markets before the interview. Understand current trends, key players, and regulatory changes. This will not only help you answer questions confidently but also show that you're genuinely interested in the field.
✨Show Off Your Python Skills
Since advanced Python skills are a must for this role, be prepared to discuss your experience with it. Bring examples of projects where you've used Python for quantitative analysis or risk modelling. If possible, consider doing a quick coding exercise to demonstrate your proficiency.
✨Communicate Complex Ideas Simply
As the role requires effective communication of complex ideas, practice explaining your past projects or models in simple terms. Think about how you would describe your work to someone without a technical background. This will showcase your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare Questions About Flexible Work Patterns
Since the job offers flexible work patterns, come prepared with questions about how this works in practice. Ask about team dynamics, collaboration tools, and how they maintain productivity. This shows that you're thinking about how to integrate into their culture while also valuing work-life balance.
