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Join Field's innovative team as a Power Systems Modeller and drive the future of renewable energy with your expertise and passion
Overview
Salary
£58000 - £72000
Location
Field, Fora Montacute Yards
Nomad Friendly?
Expires
Expires at anytime
Field is at the forefront of navigating the complexities of the energy market, utilizing advanced data-driven models to influence strategic decisions and market analysis. As a dynamic and mission-driven organization, we are dedicated to making a significant impact in the renewable energy and zero-carbon flexibility space. We offer a stimulating environment where your work directly contributes to the company's financial success.
- Further develop and enhance our in-house power systems model.
- Create price and revenue forecasts to inform strategic decision-making and market transactions.
- Refactor and improve Python code, integrate AWS, and expand to new regions.
- Become a subject matter expert in market fundamentals and model development.
- Proven experience in energy system modeling within a relevant sector.
- Proficiency in Python programming and familiar with Git and AWS.
- Strong problem-solving and analytical skills, with the ability to communicate complex technical topics to a diverse audience.
- Knowledge in Operations Research, Data Science, or related fields is desirable.
Power Systems Modeller
Department: Analysis
Employment Type: Permanent - Full Time
Location: UK - London
Reporting To: Alexa Strobel
Compensation: £58,000 - £72,000 / year
Description
At Field, we recognise the increasing complexity of energy markets and fundamental volatility drivers, and use our in-house power systems model to make data-driven decisions (e.g. executing hedges, trades and tolls). The Power Systems Modeller sits at the heart of this by further developing and improving our in-house power systems model. This is not a consulting / advisory type of role, but a role that impacts the business’s bottom line. The role sits within the cross-functional Strategy & Analysis team, working with all areas of the business.
You will be responsible for the development and maintenance of our in-house modelling capabilities, generating price and revenue forecasts. These forecasts will be used to execute hedges, trades and tolls, input into strategic decision making and market analysis across short and long term time horizons driving bottom line, real business value. Your work will be highly varied and will include: refactoring existing Python code, improving processes (e.g. AWS integration), regional expansion (e.g. Germany, Italy, Spain) and new feature development (e.g. flexible demand, subsidies, emerging technologies). You will be expected to own subject matter expertise across market fundamentals, mechanisms and model development - and to be able to communicate this clearly to potentially non-technical audiences.
This technical subject matter expert role will combine expert programming skills with experience of digesting and converting abstract information and data into tangible forecasting methodologies. Our modelling has a focus on fundamentals drivers and uses a mixture of optimisation and statistical approaches, so we expect you to have some background in either Operations Research or Data Science.
This is a great opportunity for a detail-oriented modeller, keen to make a real difference in the renewable energy and zero-carbon flexibility space.
Key Responsibilities
This is a broad and varied role with the opportunity to have massive impact. Key responsibilities include:
Develop novel methodologies for forecasting market-level prices and BESS revenue curves: Assess available data, understand market structures and model how to best emulate these within the existing framework with an eye on robust, appropriately sensitive and easily explainable results driven by underlying fundamental drives.
Own, maintain and improve the existing in-house model: Support general maintenance and improvements of the existing model codebase, challenge existing methodologies, respond to changes in policy and market reforms. and help us scale model use by thinking about the end-to-end user experience.
Provide fundamentals market expertise: Together with Analysis colleagues, provide technical expertise around the energy and ancillary services markets to the Treasury/Tech teams and wider business and senior stakeholders.
Feed quantitative, data-backed recommendations to support decision-making within Field: Supporting the Fundamentals Lead, produce high-quality market analysis and robust scenario modelling to inform strategic decisions making, for example assessing the impact of regulatory modifications or utilising revenue forecasts to determine Field capacity market bidding strategies.
Skills, Knowledge & Expertise
A bit about you
- You’re detail-oriented from start to finish (from inputs through to outputs), willing to get into the weeds of QA and ensure models are working correctly and accurately
- You enjoy solving problems - from structuring modelling approaches to debugging models to determining the most impactful way to generate model outputs.
- You’re enthusiastic, curious and knowledgeable about the energy storage industry.
- You’re very organised - you’ll be spinning a few plates at once, so you’ll need to have tried and tested methods for keeping on top of a varied workload at your fingertips.
- You’re an open, clear communicator who enjoys working collaboratively - there are no ‘lone wolves’ at Field, we’re all in this together.
The skills you’ll need
- Background in energy system modelling within a specialist consultancy or practice, research environment, or energy market participant
- Experience with forecasting methodologies, in at least one of the following categories
- Using optimisation/Operations Research techniques
- Statistical approaches/DS/ML
- Strong modelling skills - ability to distil key information and convert this into equations reflective of the underlying drivers
- Strong programming experience, preferably in Python
- Familiarity with software development best practices (e.g. Git, AWS integration)
- Problem solving and analytical skills
- Able to communicate complex technical topics in a clear and concise manner to non-technical audiences
Nice-to-have: experience with an algebraic modelling language (E.g. GAMS, AMPL) or Python modelling packages (e.g. Pyomo, CVXPY), experience with open-source or commercial solvers, experience with gas price forecasting or demand modelling
Job Benefits
Salary: £58,000 - £72,000
We’re offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You’ll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares!
Other benefits include
- Enhanced parental leave, for all new parents:
- 6 months fully paid primary carer leave
- 3 months fully paid secondary carer leave
- 10 days fully paid leave for fertility treatment
- Up to 10% company wide bonus based on company performance
- Hybrid working (blend of home and office working to suit individual needs)
- Nest pension (8% combined contributions) on qualifying earnings
- 25 days holiday + bank holidays
- £2,000 annual learning & development budget to spend on whatever best supports your growth
- 1 month a year ‘work from anywhere in the world’ policy
- Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources
- Green leave: paid time off to do something good for the environment
- Fun co-working office space in Shoreditch, London
- Dog friendly office (with some regular furry friends already in the team)
- Free team lunch once a week
- Regular team socials
- Birthday carbon offset: a gift from Field to the world to celebrate your birthday
- & many more on the way!
