At a Glance
- Tasks: Develop and enhance market risk models to forecast exposures in energy markets.
- Company: Join SSE, a leader in the energy transition with a focus on sustainability.
- Benefits: Competitive salary, performance bonuses, flexible working, and wellness perks.
- Other info: Inclusive workplace with excellent career growth opportunities and support for diverse backgrounds.
- Why this job: Make a real impact in the energy sector while developing 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.
You will 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.
About SSE:
SSE’s purpose is to provide energy needed today while building a better world of energy for tomorrow. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. Our Transforming for Growth investment plan sees us investing £33bn in critical electricity infrastructure across five years to 2030.
SSE Energy Markets secure the energy needed to power customers’ lives, while creating value for SSE. Our Energy Markets trading teams buy the fuel needed to deliver cleaner energy and sell power generated in our wind farm, hydro and thermal assets back to the markets.
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.
- 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’re dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.
Quantitative Risk Analyst in Perth 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, SSE provides a supportive culture that values collaboration and innovation. Join us in shaping the future of energy while enjoying comprehensive benefits and opportunities for meaningful contributions to the energy transition.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Analyst in Perth
✨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 just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss market risk models and your experience with Python and SQL. We want to see that you can walk the talk!
✨Tip Number 3
Show off your communication skills! Practice explaining complex concepts in simple terms. This will help you connect with interviewers and demonstrate your ability to make risk analysis accessible to everyone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at SSE.
We think you need these skills to ace Quantitative Risk Analyst in Perth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your experience with market risk models and your proficiency in Python and SQL. We want to see how your skills align with what we're looking for!
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 team. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills:Since you'll be explaining complex results, it's crucial to demonstrate your communication skills in your application. Use clear language and examples that show how you've successfully communicated technical concepts in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at SSE PLC
✨Know Your Numbers
As a Quantitative Risk Analyst, you'll be expected to have a solid grasp of market risk models. Brush up on your knowledge of Monte Carlo simulations and stochastic techniques before the interview. Be ready to discuss how you've applied these in past roles, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since proficiency in Python and SQL is crucial for this role, make sure you can demonstrate your coding abilities. Prepare examples of how you've used these languages for numerical modelling and data analysis. If possible, bring along a portfolio or code snippets that highlight your best work.
✨Understand the Market Dynamics
Familiarise yourself with GB power market dynamics and commodity drivers. During the interview, be prepared to discuss how these factors influence portfolio risk. Showing genuine interest and understanding of energy market mechanics will set you apart from other candidates.
✨Communicate with Clarity
Your ability to explain complex topics in an accessible way is key. Practice articulating your thoughts clearly and confidently, especially when discussing model results and risk drivers. Remember, it's not just about what you know, but how well you can share that knowledge with others.
