At a Glance
- Tasks: Develop and enhance market risk models to forecast exposures in energy markets.
- Company: Join SSE, a leader in the energy sector committed to net zero.
- Benefits: Competitive salary, performance bonuses, flexible working, and wellbeing perks.
- Other info: Inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact on energy market decisions while growing your analytical skills.
- Qualifications: Experience in market risk modelling, proficiency in Python and SQL, and strong communication skills.
The predicted salary is between 58100 - 87100 £ per year.
Base Location: You'll be expected to spend 50% of your working week in our Glasgow, Perth or Edinburgh office.
Salary: £58,100 - £87,100 + performance-related bonus + a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible First options available.
The role: As a Quantitative Risk Analyst within Energy Markets (EM), you’ll join a close-knit Market Risk team that supports confident, well governed decision-making across SSE’s wholesale portfolio as we progress towards net zero. You’ll take a thoughtful, analytical lead on developing and enhancing the numerical techniques that measure and forecast market risk across physical assets and non-standard bilateral contracts, working in partnership with Trading, Commercial quants, and data/engineering colleagues. This is a role where your care for detail, curiosity, and ability to explain complex results with clarity will be genuinely valued, helping stakeholders understand the "why" behind risk exposures and enabling balanced, informed choices.
You will:
- Design, enhance and implement market risk models (e.g., Monte Carlo simulation and stochastic techniques) to quantify and forecast exposures across GB renewables and thermal assets, with scope to broaden into European markets.
- Build and maintain clear, trusted risk metrics and reporting (VaR, EaR, stress testing), bringing structure and creativity when working with high-frequency and large data sets.
- Partner with data and engineering teams to translate robust quantitative approaches into production-ready code that strengthens risk analysis and reporting.
- Support the development of systematic trading by providing independent risk review, helping teams identify, assess and manage risks across strategy workflows.
- Communicate model results and key risk drivers with warmth and confidence, supporting senior leaders, traders and committees to build shared understanding and make sound decisions.
You have:
- Proven hands-on experience developing and validating market risk models in commodities or financial markets, with a strong grasp of model lifecycle from concept through to production.
- High proficiency in Python and SQL for numerical modelling and data analysis, and comfort working with cloud/data platforms (e.g. Databricks, Azure Data Factory).
- A solid understanding of GB power market dynamics and commodity drivers, and a genuine interest in how energy market mechanics shape portfolio risk.
- A collaborative, relationship-led style with the ability to work constructively across Trading, Risk and Middle Office, and comfortable offering thoughtful challenge when it helps improve outcomes.
- A clear, inclusive communication approach: you can explain complex topics in an accessible way, and you bring high standards, accountability, and a supportive mindset to the wider team.
Flexible Benefits To Fit Your Life: Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave.
Work with an equal opportunity employer: SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. We are dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive, and we especially welcome applications from those who may not be well represented in our workforce or industry.
Quantitative Risk Analyst in Edinburgh employer: SSE PLC
SSE is an exceptional employer, offering a dynamic work environment in Glasgow, Perth, or Edinburgh, where you can thrive as a Quantitative Risk Analyst. With a strong focus on employee wellbeing, flexible working options, and a commitment to diversity and inclusion, SSE provides ample opportunities for professional growth while contributing to the vital transition towards net zero. Enjoy competitive salaries, performance-related bonuses, and a comprehensive benefits package designed to support your financial and personal needs.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Analyst in Edinburgh
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that Quantitative Risk Analyst role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experience with market risk models and your Python prowess. Let them see how your skills can make a difference in their team.
✨Tailor Your Approach
Every company is different, so do your homework! Understand SSE’s values and how they align with your own. When you apply through our website, make sure to highlight how your background fits perfectly with the role.
✨Be Ready for Questions
Prepare for those tricky interview questions! Brush up on your knowledge of GB power market dynamics and be ready to explain complex concepts clearly. Confidence and clarity will help you stand out as a candidate.
We think you need these skills to ace Quantitative Risk Analyst in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Risk Analyst role. Highlight your hands-on experience with market risk models and your proficiency in Python and SQL. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about energy markets and how your analytical skills can contribute to our mission. Keep it engaging and personal – we love getting to know the real you!
Showcase Your Communication Skills:Since this role involves explaining complex results, make sure to demonstrate your ability to communicate clearly in your application. Whether it's through your CV or cover letter, show us how you can break down intricate topics into understandable insights.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at SSE PLC
✨Know Your Models Inside Out
As a Quantitative Risk Analyst, you'll be expected to discuss market risk models like Monte Carlo simulations. Make sure you can explain how these models work, their applications, and any challenges you've faced while developing or validating them. This shows your hands-on experience and deep understanding of the subject.
✨Brush Up on Your Python and SQL Skills
Since high proficiency in Python and SQL is crucial for this role, take some time to review your coding skills. Be prepared to discuss specific projects where you've used these languages for numerical modelling and data analysis. You might even want to bring examples of your work to demonstrate your capabilities.
✨Understand the Energy Market Dynamics
Familiarise yourself with GB power market dynamics and commodity drivers. Being able to discuss how these factors influence portfolio risk will show that you're not just technically skilled but also have a genuine interest in the industry. This can set you apart from other candidates.
✨Communicate with Clarity and Confidence
You'll need to explain complex results to stakeholders, so practice articulating your thoughts clearly. Use simple language to break down intricate concepts, and be ready to answer questions. This will demonstrate your inclusive communication style and ability to build relationships across teams.
