ST Trading, Power Risk & Pricing Analyst

at  Shell Energy

WHAT WE NEED FROM YOU

We are keen to hear from candidates with significant experience either in trading or quantitative analysis of intraday, balancing, and ancillary services markets, with comprehensive asset and product knowledge. We would also like to see the following reflected in your CV:

• Degree in Engineering, Mathematics, Sciences, Economics, or a related field.
• Strong quantitative, commercial, and communication skills.
• Ability to handle large datasets and derive meaningful conclusions for decision making in a fast-paced environment.
• Excellent MS Office skills as well as ability to write scripts in one programming language (preferably in Python)
• Experience in GB or European Intraday Power & Ancillary Services Market Fundamentals is a plus.

If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that not everyone often applies when they do not feel 100% qualified. We are committed to creating a more equitable, inclusive, and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. We look forward to receiving your application.

You will be responsible for the following:

• Improve model-driven decision making while managing the asset book to handle long-term hard-to-hedge exposures from asset-backed deals, including renewables imbalance risk, within-month (weather window) volume and price shape risk, intraday and balancing mechanism, and ancillary services exposures of flexible assets from deal inception through delivery.
• Work with Power Fundamentals and Forecasting teams to develop longer-term fundamental views for intraday price scenarios correlated with renewable forecast errors and day-ahead prices.
• Collaborate with Quants and Structuring teams to ensure consistent modelling and valuation of these illiquid risk components from pre-deal to post-deal views.
• Work with Market Risk and controlling teams on reserves and valuation for reporting during the deal life cycle, ensuring PnL crystallization.
• Contribute developing models for pricing these illiquid risk items feeding into long term deal valuation given the portfolio weights and risk appetite.
• Take ownership of the models used in PnL generation in short-term trading space, ensuring their accuracy and relevance to trading strategies.
• Contribute developing short-term trading algorithms, ensuring they are used effectively and benchmarked against market performance.
• Provide ongoing feedback to the short-term trading teams based on benchmarking results, working with traders to refine their strategies and enhance overall trading desk performance.
• Leverage experience in intraday, balancing, and ancillary services markets to enhance trading strategies and risk management practices.