Lead Analyst - Modelling and Markets at Gridcog

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Energy Market Expertise, Modelling, Data Analytics, Python, Time Series Data, Data Visualisation, Communication Skills, Stakeholder Management

Industry

Software Development

Description

About Us: We are a start-up on a mission to accelerate the energy transition by building the best project modelling software to enable our users to make intelligent energy decisions. Our software models the physical and commercial nuances of energy projects both behind-the-meter and front-of-meter. This includes modelling renewable energy generation, battery energy storage, flexibility and different commercial arrangements. We are a SaaS company filled with motivated software and energy nerds with customers around the world and offices in Australia, the UK and Germany. We're growing rapidly and are looking for a Lead Analyst - Modelling and Markets to join our team. Who we’re looking for: We are looking someone with deep energy market expertise in at least one major European energy market - that expertise will include technical understanding of wholesale, ancillary and balancing market design and operation as it relates to energy investments, particularly battery storage. Additionally, the role requires hands-on experience in modelling and data analytics for energy markets. Your work as Lead Analyst - Modelling and Markets will cover the following areas: You will be the primary technical interface between the business and the modelling team, understanding and interpreting often complex energy market concepts into well defined modelling requirements Responsibility for testing and validation of new modelling features Close collaboration with product managers, software and data engineers, and data scientists to understand and address customer needs. Writing and maintaining internal technical documentation To be successful in this role you will (have): Expert knowledge in at least one major European energy market Significant experience in modelling energy project investments A technical background, and be very comfortable understanding python, pull requests and automated tests Fluency with time series data, and data analysis Experience with BI tools, data visualisation, and techniques Excellent communications skills, particularly around complex technical topics. Flexibility in working hours to ensure overlap with the existing modelling team based in Melbourne, Australia Structured prioritisation and stakeholder management skills Right to work in the UK We’d also love it if you have: Some experience with modelling, simulation and optimisation (LP, MILP) Application: Alongside your CV please attach the following: A cover letter explaining why you think you’d be a great addition to our team Benefits: Competitive remuneration package aligned with experience and skills Join a diverse start-up in the energy space and be part of a high-performing team that values innovation and creative problem-solving We will help build your personal profile in the energy sector via sharing your insights and contributions on our company LinkedIn page Contribute to the decarbonisation of the world's energy system Support for ongoing professional and personal development An annual all company retreat to link up with our European colleagues – this year we went to Bintan, Indonesia Diversity and Inclusion: We are committed to building a diverse and inclusive team at Gridcog. We welcome applicants from all backgrounds, as we believe an inclusive environment and diversity of perspective leads to innovation and success.

Responsibilities

You will be the primary technical interface between the business and the modelling team, understanding and interpreting complex energy market concepts into well-defined modelling requirements. You will also be responsible for testing and validation of new modelling features and collaborating closely with product managers and engineers.