Hybrid Quantitative Analyst: Energy Trading & Forecasting

Evolve Energy (Evolve Energy Supply Limited); Preston; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

Evolve Energy is seeking a highly analytical Quantitative Analyst to join the Trading & Renewables team. You will build quantitative models, work with complex datasets and use data to solve real-world commercial and trading problems in a fast-moving energy market.

The role involves forecasting, risk analysis, and improving trading decisions across traditional energy supply and renewables portfolios. Hybrid working with up to 3 days in the Lytham Office and reporting to the Head of Trading &

Qualifications

• Passion for numbers, Excel and data; enjoy building models and spotting patterns.
• Support senior team in strategy, pre-trade analysis, execution, post-trade analysis, allocations and settlement across multiple strategies.
• Strong stakeholder management and communication skills.
• Advanced Excel and robust analytical models.
• Ability to interpret large datasets and draw meaningful conclusions.
• Curiosity and willingness to improve processes.
• Clear, commercial communication of complex analysis.
• Attention to detail and structured problem solving.

Responsibilities

• Develop quantitative models to support power and gas trading 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 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

Skills

Advanced Excel

Data analysis

Statistical modelling

Stakeholder management

Communication skills

Job description

Evolve Energy is seeking a highly analytical Quantitative Analyst to join the Trading & Renewables team. You will build quantitative models, work with complex datasets and use data to solve real-world commercial and trading problems in a fast-moving energy market.

The role involves forecasting, risk analysis, and improving trading decisions across traditional energy supply and renewables portfolios. Hybrid working with up to 3 days in the Lytham Office and reporting to the Head of Trading &