Senior Energy Associate

Aurora Energy Research

. Deliver rigorous quantitative analysis of GB power, storage and flexibility markets, producing long-term forecasts for BESS revenues .

Posted 10/9/2026full-timeOxford • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis and project management within the battery energy storage sector, with a strong focus on client engagement and process optimization through AI tools. Capable of leading teams and delivering insights from complex data to inform strategic decisions.

Highest-signal resume keywords

Quantitative AnalysisProject ManagementBattery Energy Storage Systems (BESS)AI Tools UtilizationClient Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsRevenue ForecastingBidding and Dispatch LogicSQLPythonRAdvanced ExcelAnalytical ApproachesRevenue StackingGrid Connection Awareness

Soft Skills

CommunicationTeam LeadershipCoachingProblem SolvingCuriosity

Tools & Technologies

AI ToolsAnalytical SoftwareClient-Facing ToolsModelling Tools

Industry Keywords

Energy TransitionFlexible AssetsBalancing MechanismAncillary ServicesCapacity MarketStorage DeveloperIPPFinancial ServicesRoute-to-MarketCommercial Awareness

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Deliver rigorous quantitative analysis of GB power, storage and flexibility markets, producing long-term forecasts for BESS revenues
Build specialist knowledge of batteries and flexible assets, including revenue stacking across wholesale, the Balancing Mechanism, ancillary services, and the Capacity Market
Manage projects end to end by defining analytical approaches, identifying and solving problems, suggesting next steps, and planning two to six months ahead
Manage and coach one to three junior colleagues and lead interviews for more junior roles
Lead client workshops and present content in client meetings with clear storylines and slides communicating implications
Build relationships with client counterparts such as analysts, project managers, and optimisers
Identify and deliver research process improvements, including repeatable AI-enabled approaches
Optimise team workflows through adoption and use of AI
Contribute to development of Aurora research products such as Flex, working with modelling and software teams to translate analytical priorities into client-facing tools

Requirements

What you’ll need

3-5 years of experience at a BESS optimiser, trader or route-to-market provider, or at a storage developer, IPP or major consultancy, energy company, financial services company, or other knowledge-focused firm or institution, including exposure to battery storage or flexibility
First-class or high second-class university degree, ideally in a quantitative or technical discipline (e.g. engineering, economics, mathematics, physics)
Awareness of the commercial questions a real BESS owner or optimiser faces, including duration and sizing, route-to-market and optimiser contract structures, cycling and degradation trade-offs, grid connection and availability
Demonstrated success in taking responsibility for project and process management in team-oriented environments
Proven ability to interpret and derive insight from complex quantitative data and information
Ability to communicate clearly and co-operate effectively with technically and non-technically minded people, including in client meetings and workshops
A practical, curious approach to using AI tools in day-to-day analytical work
Self-starting, entrepreneurial mind-set, and genuine interest in the energy transition
Desirable: practical understanding of flexible asset trading or optimisation, including bidding and dispatch logic, revenue stacking, and wholesale, balancing and ancillary markets
Desirable: exposure to the investment case for storage, including revenue forecasting, underwriting, or tolling and floor structures
Desirable: leadership, management or mentoring experience
Desirable: advanced data analytics using Python, R, SQL, or advanced Excel
Desirable: experience using AI tools to improve analytical work
Desirable: strong academic record, such as a Master’s degree or PhD

Benefits

Comp & perks

Private Medical Insurance
Dental Insurance
Parental Support
Salary-Exchange Pension
Employee Assistance Programme (EAP)
Local Oxford Discounts
Cycle-to-work Scheme
Flu Jabs
Hybrid working with a mix of in-office/home working
Potentially adjustable working hours