Quantitative Analyst

Location:
Hybrid working/Up to 3 days in the Lytham Office

Love spreadsheets? Fascinated by numbers? Enjoy solving complex problems?

At Evolve Energy, we're looking for a highly analytical Quantitative Analyst to join our growing Trading & Renewables team. This role is ideal for someone who enjoys building quantitative models, working with complex datasets and using data to solve real-world commercial and trading problems. You'll work with in a fast-moving energy market, applying statistical analysis, forecasting and quantitative techniques to help improve trading decisions, optimise portfolio performance and strengthen our understanding of risk.

You'll analyse everything from customer demand and wholesale market movements to renewable generation, imbalance exposure and asset capture rates, turning complex data into clear and actionable insight.

Working across both traditional energy supply and our growing renewable portfolio, you'll help develop the analytical capability behind our trading, pricing and renewable strategies. Whether you're already working within energy or looking to apply strong mathematical, statistical or programming skills to the sector, this is an opportunity to build models and tools that have a direct impact on commercial performance.

Reporting to the Head of Trading & Renewables
, you'll play a key role in developing the quantitative models, forecasts and analytical tools that support our trading and renewable energy activities. This is a hands-on quantitative role for someone who enjoys getting under the skin of complex problems, testing assumptions and using data to understand not only what is happening, but why it is happening and what we should do as a result
.

• Develop quantitative models to support power and gas trading, hedging and procurement decisions
• Analyse portfolio positions, hedge coverage and exposure across different delivery periods
• Develop tools to identify and quantify volume, price, shape and imbalance risk
• Analyse historical and forward market data to identify trends, correlations and trading opportunities
• Support trading team with quantitative analysis around hedge timing, products and portfolio optimisation
• Develop scenario and sensitivity analysis to understand portfolio exposure under different market conditions
• Analyse the relationship between wholesale prices, demand, renewable generation, weather and system fundamentals
• Develop and improve electricity and gas demand forecasting models across customer portfolios
• Analyse forecast versus actual consumption and identify the drivers of forecast error
• Quantify the financial impact of forecast error and imbalance exposure
• Analyse cashout and imbalance performance and identify opportunities to reduce costs
• Incorporate weather, seasonality, calendar effects and customer behaviour into forecasting models
• Back-test forecasting methodologies and continuously assess model performance
• Analyse historical generation profiles, load factors and expected future production
• Calculate and monitor capture rates, capture prices and capture factors for renewable assets
• Model generation shape against wholesale market prices and customer consumption profiles
• Support the valuation and structuring of PPAs, CPPAs and renewable supply arrangements
• Analyse customer-to-generation matching, including half-hourly generation and consumption profiles
• Develop scenario analysis around curtailment, negative pricing and renewable cannibalisation
• Support commercial decisions around new renewable assets and PPA opportunities
• Support the development of pricing methodologies for flexible and structured energy products
• Analyse customer consumption profiles and determine appropriate risk premiums
• Support pricing of bespoke contracts and complex commercial structures
• Perform back-testing of pricing assumptions against realised portfolio performance
• Work with commercial teams to translate quantitative outputs into clear pricing recommendations

• A real passion for numbers, Excel and data, someone who enjoys building models, spotting patterns, challenging assumptions and using analysis to crack commercial problems
• Supporting senior team members in formulating strategy, pre-trade analysis, execution, post-trade analysis, allocations, and settlement across multiple strategies
• Strong stakeholder management and communication skills
• Advanced Excel skills and the ability to build, improve and maintain robust analytical models
• Strong analytical thinking with the ability to interpret large datasets and draw meaningful conclusions
• A naturally curious mindset that enjoys questioning assumptions and finding better ways of doing things
• Strong communication skills with the ability to explain complex analysis in a clear and commercial way
• High attention to detail and a structured approach to solving problems

You’ll be highly analytical, naturally curious and confident working with numbers, with a…