Flexible Energy (Senior) Associate

Aurora Energy Research; Oxford; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private Medical Insurance

Dental Insurance

Parental Support

Salary-Exchange Pension

Employee Assistance Programme (EAP)

Local Oxford Discounts

Cycle-to-work Scheme

Flu Jabs

Job summary

Aurora Energy Research in Oxford is seeking an Analyst/Senior Analyst to join the GB Research team focused on batteries and flexible assets. You will deliver quantitative analyses, forecast revenues, and build knowledge across wholesale, Balancing Mechanism, and Capacity Market.

Leading projects and mentoring junior colleagues are integral parts of the role. Ideal candidates bring 3–5 years in the flexible energy space, strong quantitative skills, and a proactive, collaborative approach.

Qualifications

• 3–5 years of experience at a BESS optimiser, trader or route-to-market provider or similar.
• First-class or high-2:1 university degree, ideally quantitative or technical.
• Awareness of commercial questions for BESS operators and optimisation.
• Proven project and process management in a team setting.
• Ability to interpret complex quantitative data and extract insights.
• Clear communication with technically and non-technical stakeholders.
• Practical use of AI tools in day-to-day analytics.
• Self-starting, entrepreneurial mindset and interest in energy transition.

Responsibilities

• Deliver rigorous quantitative analysis of GB power, storage and flexibility markets.
• Develop long-term forecasts for BESS revenues and assets.
• Build knowledge of revenue stacking, Balancing Mechanism and Capacity Market.
• Manage projects end-to-end and plan two to six months ahead.
• Line-manage and coach junior colleagues and lead interviews.
• Lead client workshops with clear storytelling and client relationships.
• Identify improvements to research processes, including AI-enabled approaches.

Skills

BESS experience

Quantitative background

Leadership experience

AI tools in analysis

Data analytics (Python/SQL/Excel)

Strong communication

Education

Bachelor's degree in quantitative/technical field

Master's degree or PhD in a relevant discipline

Tools

Python

SQL

R

Excel

Job description

Description

Based in Oxford, you will be a core member of Aurora’s Great Britain (GB) Research team, with a focus on batteries and flexible assets. The position suits an analyst or senior analyst with hands‑on experience of the flexible energy space — for example at a BESS optimiser, trader or route‑to‑market provider, or at a storage developer, IPP or investor — or a strong quantitative candidate from a top‑tier strategic or economic consultancy, energy company, financial services company, or knowledge‑focused firm or institution with exposure to the flexible energy space. The successful candidate will combine technical ability with a track record of dependable, independent delivery in team‑oriented environments.

Department:

Research

Location:

Oxford, UK

Description

Based in Oxford, you will be a core member of Aurora’s Great Britain (GB) Research team, with a focus on batteries and flexible assets. The position suits an analyst or senior analyst with hands‑on experience of the flexible energy space — for example at a BESS optimiser, trader or route‑to‑market provider, or at a storage developer, IPP or investor — or a strong quantitative candidate from a top‑tier strategic or economic consultancy, energy company, financial services company, or knowledge‑focused firm or institution with exposure to the flexible energy space. The successful candidate will combine technical ability with a track record of dependable, independent delivery in team‑oriented environments.

Key Responsibilities

• Delivering rigorous quantitative analysis of GB power, storage and flexibility markets, producing our long‑term forecasts for BESS revenues
• Building specialist knowledge of batteries and flexible assets: how revenues stack across wholesale, the Balancing Mechanism, ancillary services and the Capacity Market, and the trade‑offs that shape how real assets are sized, contracted and dispatched
• Managing your own project end to end — identifying and solving problems, suggesting next steps, and planning two to six months ahead to manage risks and avoid crunches
• Line managing and coaching one to three junior colleagues — both as their day‑to‑day manager on projects and in their longer‑term development — and leading interviews for more junior roles
• Leading client workshops and presenting a range of content in client meetings, with clear storylines and slides that communicate implications rather than outputs, and building relationships with client counterparts such as analysts, project managers and optimisers
• Identifying and delivering improvements to research processes, including repeatable AI‑enabled approaches, and optimising how the team works through the adoption and use of AI
• Contributing to the development of an Aurora research product (e.g. Flex), working with our modelling and software teams to translate analytical priorities into client‑facing tools

Skills, Knowledge and Expertise

Required attributes:

• 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 — duration and sizing, route‑to‑market and optimiser contract structures, cycling and degradation trade‑offs, grid connection and availability — and the judgement to keep analysis relevant to them
• 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 both 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 a genuine interest in the energy transition

Desirable attributes:

• Practical understanding of how flexible assets operate in‑market from a trading or optimisation perspective — for example bidding and dispatch logic, revenue stacking, and participation in wholesale, balancing and ancillary market
• Exposure to the investment case for storage, such as revenue forecasting, underwriting, or tolling and floor structures
• Leadership, management or mentoring experience demonstrated by previous roles of professional responsibility
• Competence in advanced data analytics (e.g. Python, R, SQL, advanced Excel)
• Experience of using AI tools to speed up or improve analytical work
• Strong academic record, such as a Master’s degree or PhD in a relevant discipline

What we offer

• Private Medical Insurance
• Dental Insurance
• Parental Support
• Salary‑Exchange Pension
• Employee Assistance Programme (EAP)
• Local Oxford Discounts
• Cycle‑to‑work Scheme
• Flu Jabs

At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in‑office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.