At a Glance
- Tasks: Lead the development of quantitative risk models and enhance risk data infrastructure.
- Company: Join SSE, a leader in energy transition and innovation.
- Benefits: Competitive salary, performance bonuses, flexible working, and wellness perks.
- Other info: Inclusive workplace with excellent career growth opportunities.
- Why this job: Shape the future of energy markets while making a real impact.
- Qualifications: Experience in quantitative risk modelling and advanced data analysis skills required.
The predicted salary is between 58100 - 87100 £ per year.
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Base Location: You'll be expected to spend 50% of your working week in our 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: We're looking for an experienced and collaborative Energy Markets Risk Manager (Quant Modelling and Data) to play a leading role in shaping how SSE manages market risk across its evolving energy portfolio. Sitting at the heart of the energy transition, this role offers the opportunity to influence decision‑making across renewable generation, thermal assets, and energy trading activities. You'll combine quantitative modelling expertise, data leadership, and commercial partnership to help deliver robust and forward‑looking risk frameworks in increasingly complex energy markets. Working closely with stakeholders across trading, risk, technology, and senior leadership, you'll lead a small team while helping to build scalable, innovative, and resilient risk capabilities that support SSE's long‑term ambitions.
You will:
- Lead the development and enhancement of quantitative market risk models, translating trading strategies into meaningful risk metrics, controls, and insights.
- Oversee and evolve risk data infrastructure and analytical pipelines, ensuring high‑quality, timely, and scalable risk reporting across the business.
- Partner closely with Front Office and commercial teams to support new trading strategies, bespoke contracts, and emerging energy products.
- Manage and support a team of analysts, fostering collaboration, technical development, and continuous improvement.
- Communicate complex market risk concepts clearly and confidently to stakeholders across all levels, including senior leadership and risk committees.
You have:
- Strong experience developing quantitative risk models within energy, commodities, or financial markets, with a deep understanding of power and gas markets.
- Advanced Python and data analysis capabilities, alongside experience working with modern data frameworks such as SQL, PySpark, or cloud‑based platforms.
- Expertise in quantitative techniques such as stochastic modelling, simulation methods, and time series analysis.
- Experience working collaboratively with trading desks and commercial stakeholders in fast‑paced and evolving market environments.
- A supportive and relationship‑oriented approach, with the ability to lead teams, influence stakeholders, and communicate complex ideas with clarity and confidence.
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 the 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. 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. Please contact Janet.Gossman@sse.com or 01738 351816 to discuss how we can support you. 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.
Risk Manager (Quant Modelling and Data) employer: Scottish and Southern Electricity Networks
SSE is an exceptional employer that prioritises employee wellbeing and professional growth, offering a competitive salary alongside a performance-related bonus and a comprehensive benefits package. With a flexible working pattern and a commitment to inclusivity, SSE fosters a collaborative work culture where employees can thrive while contributing to the vital energy transition. The opportunity to lead a team in shaping innovative risk frameworks within a dynamic market environment makes this role particularly rewarding for those passionate about making a meaningful impact.
Contact Details:
Scottish and Southern Electricity Networks Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Risk Manager (Quant Modelling and Data)
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working in risk management. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative modelling projects and data analysis work. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of power and gas markets, and be ready to discuss your experience with Python and SQL. Practising your responses will help you communicate complex ideas clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s make things happen!
We think you need these skills to ace Risk Manager (Quant Modelling and Data)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Risk Manager role. Highlight your experience in quantitative risk modelling and data analysis, especially within energy or financial markets. 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 the energy sector and how your background makes you a perfect fit for our team. Don’t forget to mention your collaborative approach and leadership experience.
Showcase Your Technical Skills:We’re keen on your technical abilities, so make sure to highlight your proficiency in Python, SQL, and any modern data frameworks you've worked with. Give us examples of how you've used these skills in past roles to solve complex problems.
Apply Through Our Website:We encourage you to apply directly through our website. 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 Scottish and Southern Electricity Networks
✨Know Your Quantitative Models
Make sure you brush up on your quantitative risk models, especially those related to energy and commodities. Be ready to discuss how you've developed these models in the past and how they can be applied to SSE's evolving energy portfolio.
✨Showcase Your Data Skills
Since this role requires advanced Python and data analysis capabilities, prepare to demonstrate your proficiency with SQL, PySpark, or any cloud-based platforms. Bring examples of how you've used these tools to enhance risk data infrastructure or analytical pipelines.
✨Communicate Clearly
Practice explaining complex market risk concepts in a straightforward manner. You’ll need to communicate effectively with stakeholders at all levels, so think about how you can simplify your explanations without losing the technical depth.
✨Emphasise Collaboration
This role involves working closely with various teams, so highlight your experience in collaborative environments. Share specific examples of how you've partnered with trading desks or commercial teams to support new strategies or products.
