Quant Trading - Data Scientist

SSE Enterprise
Reading
1 month ago
Applications closed

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Machine Learning Engineer

Machine Learning Engineer

Quant Trading - Data Scientist
  • Job Number:551728
  • Closing at: Apr 8 2025 - 23:55 BST

SSE has a bold ambition – to be a leading energy company in a net zero world. We're building the world's largest offshore wind farm. Transforming the grid to provide greener electricity for millions of people and investing over £20 billion in homegrown energy, with £20 billion more in the pipeline.

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.

Base Location:Perth. Glasgow, Edinburgh or Reading – this is a hybrid role working part of the week from one of the advertised locations.

Salary:circa £83,000 + enhanced performance-related bonus + a range of benefits to support your finances, wellbeing and family.

Working Pattern:Permanent | Full Time | options available

The role

Energy Markets (EM) is the commercial core of SSE, driving value from asset portfolios in wholesale energy markets as the company works towards its net-zero vision. EM optimises assets, manages market access, and handles risk across SSE's Business Units, including Wind, Hydro, Low Carbon Thermal, Distributed Energy, and Customer portfolios. By consolidating expertise in Trading, Risk Management, Energy Economics, and Advanced Analytics into one centre of excellence, EM supports decision-making and value creation throughout the SSE Group.

The Advanced Analytics & Data (AAD) team plays a key role in enabling automated wholesale market trading through data, modelling, and Generative AI. Embedded in Front Office decision-making, AAD directly impacts P&L. The team aims to improve decision-making sophistication, efficiency, and commercial value by developing Models, Analytics, and Visualisations that enhance data-driven outcomes.

The Quantitative Trading Data Scientist will lead Systematic and Algorithmic Trading developments, blending commercial acumen, technical expertise, and leadership. This role involves creating models to optimise SSE’s asset portfolio, guiding a new Trading Data Science team, and establishing frameworks for model deployment, monitoring, and risk management to ensure maximum returns and compliance with Market Risk controls.

You will

- Lead strategic projects to build capabilities, share knowledge across the Trading Analytics team, and maintain focus on delivering commercial value for Energy Markets. Advocate for best practices in data and modelling, inspire staff, and support career development in a coaching environment, while modelling SSE and Energy Markets culture.

- Enhance decision-making on £2.3 billion of daily Trading exposures through Value Add Analytics, directly enabling £5m-£10m of annual Trading value. Lead discussions on market exposures, trading strategies, and asset optimisation, while improving the commercial awareness of staff.

- Lead the development of Analytics capabilities, optimise performance, and promote reuse of components in EM’s Analytics Platform. Guide the technical direction of Algorithmic Trading capabilities, assess proposed solutions, and balance performance against cost.

- Drive long-term project planning to enhance future capabilities and maintain Energy Markets' competitiveness. Prioritise resources and create a roadmap for medium- and long-term goals in evolving global Wholesale Markets.

- Lead commercial dialogues on market exposures and asset optimisation, building strong relationships within EPM and with the EPM Executive Committee. Communicate effectively, promoting the team's exceptional work and ensuring collaboration across the business.

You have

- Expertise in Wholesale Energy Markets: In-depth understanding of energy markets, with strong commercial insight into propositions and the ability to articulate complex commercial events at the Executive Committee level.

- Strategic Awareness: Strong awareness of future energy industry challenges and opportunities, with the ability to drive change by influencing stakeholders and developing pragmatic solutions.

- Advanced Data Science & Analytics: Experience working with cutting-edge data science, modelling, and visualisation techniques, particularly in designing, building, and operating analytics solutions and Trading models using Azure cloud technologies.

- Effective Communication: Skilled in senior management communication, delivering critical information clearly and concisely, and influencing senior stakeholders across EM and the broader business.

- Problem-Solving & Innovation: Intellectual curiosity, excellent quantitative and problem-solving skills, motivated by innovative approaches and the ability to lead change through collaboration.

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

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.

Ready to apply?

Start your online application using the Apply Now box on this page. We only accept applications made online. We'll be in touch after the closing date to let you know if we'll be taking your application further. If you're offered a role with SSE, you'll need to complete a criminality check and a credit check before you start work.

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