Risk Manager (Quant Modelling and Data)

SSE plc
Perth, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Compensation
£ 87K

Job location

Perth, United Kingdom

Tech stack

Data analysis
Python
SQL Databases
Cloud Platform System
PySpark
Integration Frameworks

Job description

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.

Requirements

Do you have experience in SQL?, * 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.

Benefits & conditions

Pulled from the full job description

  • Employee discount
  • Private medical insurance
  • Cycle to work scheme
  • Discounted gym membership, 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, 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.

About the company

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.

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