Risk Manager (Quant Modelling and Data)

Risk Manager (Quant Modelling and Data)

Full-Time 58100 - 87100 £ / year (est.) Home office (partial)
SSE PLC

At a Glance

  • Tasks: Lead the development of quantitative risk models and oversee risk data infrastructure.
  • Company: Join SSE, a leader in the energy transition with a collaborative culture.
  • Benefits: Enjoy competitive salary, flexible working, and wellbeing perks like free online GP.
  • Other info: Dynamic role with opportunities for career growth and team leadership.
  • Why this job: Make a real impact on energy markets while shaping sustainable futures.
  • Qualifications: Strong experience in quantitative risk modelling and advanced Python skills required.

The predicted salary is between 58100 - 87100 £ per year.

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 / 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: SSE PLC

SSE is an exceptional employer, offering a dynamic work environment in either Perth or Edinburgh, where you can play a pivotal role in shaping the future of energy markets. With a strong focus on employee wellbeing, flexible working options, and a commitment to professional development, SSE provides a supportive culture that encourages collaboration and innovation. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the energy transition while enjoying a comprehensive benefits package tailored to support your financial and personal needs.

SSE PLC

Contact Details:

SSE PLC 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 industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to risk management and quantitative modelling. We suggest doing mock interviews with friends or using online platforms to get comfortable with articulating your expertise.

Tip Number 3

Showcase your skills through real-world examples. When discussing your experience, we recommend highlighting specific projects where you developed risk models or worked with data frameworks. This will make your application stand out!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Risk Manager (Quant Modelling and Data)

Quantitative Modelling
Data Leadership
Risk Management
Energy Market Knowledge
Advanced Python
Data Analysis
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Risk Manager role. Highlight your experience with quantitative risk models and data analysis, especially in energy 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. Keep it engaging and relevant to the role.

Showcase Your Technical Skills:Don’t forget to mention your advanced Python skills and experience with SQL or cloud platforms. We’re keen on seeing how you’ve used these tools in past roles to tackle complex problems in risk management.

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 info you need about the role and our company there!

How to prepare for a job interview at SSE PLC

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 advanced Python and data analysis capabilities are crucial for this role, prepare to demonstrate your proficiency. Bring examples of how you've used SQL, PySpark, or cloud-based platforms to enhance risk data infrastructure and reporting.

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 and commercial teams to support new strategies and foster a supportive team culture.