Introduction
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 within 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.
Role Purpose
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.
Duties and Responsibilities
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
Personal skills and experience
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
The ideal candidate
You’ll be highly analytical, naturally curious and confident working with numbers, with a genuine interest in using data and quantitative techniques to solve complex problems. You’ll enjoy building models, interrogating large datasets and identifying the patterns and relationships that can improve trading, forecasting and commercial decision-making.
You’ll be comfortable using statistical and analytical techniques to understand what the data is telling you and, importantly, translating that analysis into clear, actionable recommendations. You won’t just produce numbers – you’ll be interested in understanding why something has happened, what it means for the portfolio and what we should do next.
You’ll enjoy working closely with traders and wider stakeholders, challenging assumptions and communicating complex analysis clearly and in a way that is commercially relevant. You’ll be proactive in identifying opportunities to improve models, automate processes and develop better ways of measuring and managing portfolio performance.
You’ll have previous experience in a quantitative, analytical, data science or modelling-focused role, with a strong grounding in statistics, mathematics, forecasting or data analysis. Experience within energy, commodities, trading or financial markets would be advantageous, but isn’t essential. We’re equally interested in candidates with strong quantitative capability who are excited by the opportunity to apply their skills within the energy and renewables sector.
If you’re naturally numerical, enjoy solving difficult problems and want to see your models and analysis directly influence real-world trading and commercial decisions, we’d love to hear from you.
What’s in it for You:
We want to give you more than a job, we want to give you a purpose and a career. So, what can we offer you as an employer? Evolve Energy offer a range of benefits such as:
Flexible & Hybrid work hours
An amazing team with a community feel
Opportunities to grow and develop your career.
Regular recognition and reward programs
Enhanced Annual Leave
Free Refreshments & Breakfast
Cycle to work & EV scheme
Private Healthcare, Cash Health Plans & Annual fitness membership contribution
Company Sick Pay Scheme
Employee Discount Scheme
EAP – health assistance and mental health first aiders
Company pension
Volunteering Days
Social Events
*Qualifying criteria
Roles maybe subject to DBS and Financial checks, any offer made will be conditional until checks are completed to a satisfactory standard.
If you think you would be a great fit for us, but don't meet all the requirements of the role, please contact us as we'd love to discuss how Evolve Energy could be the next step in your career journey.
Ways To Get In Contact With Evolve Energy
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