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.
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 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 professional growth, you'll be part of a collaborative team dedicated to driving sustainable energy solutions. Enjoy a comprehensive benefits package that supports your financial and personal needs while contributing to meaningful projects that shape the future of energy markets.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at SSE or in the energy sector on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss market risk models and your experience with Python and SQL. Practice explaining complex concepts simply – it’ll show you can communicate effectively!
✨Tip Number 3
Show your passion for the energy market! Be ready to discuss recent trends or news in GB power markets during interviews. This will demonstrate your genuine interest and help you stand out as a candidate who’s truly engaged.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Quantitative Risk Analyst
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 of progressing towards net zero. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills:In this role, you'll need to explain complex results clearly. Use your application to demonstrate your ability to communicate effectively. Whether it's through your CV or cover letter, make sure we can see your clear and inclusive communication style right from the start.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people. 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. Brush up on your understanding of these models and be ready to explain their lifecycle from concept to production. This shows you not only know your stuff but can also communicate complex ideas clearly.
✨Showcase Your Technical Skills
Make sure you're comfortable with Python and SQL, as these are crucial for the role. Prepare to discuss specific projects where you've used these tools for numerical modelling or data analysis. Being able to share concrete examples will demonstrate your hands-on experience and technical prowess.
✨Understand the Energy Market Dynamics
Familiarise yourself with GB power market dynamics and commodity drivers. Be prepared to discuss how these factors influence portfolio risk. Showing genuine interest in energy market mechanics will resonate well with the interviewers and highlight your commitment to the field.
✨Communicate with Confidence and Clarity
Practice explaining complex topics in an accessible way. During the interview, aim to communicate your thoughts clearly and warmly, especially when discussing model results and key risk drivers. This will help build rapport with the interviewers and demonstrate your collaborative approach.
