Please note: Applicants should be UK based and already have the right to work here.
To build and maintain Masdar’s in-house energy-market and grid-aware modelling capability for European renewable energy and flexibility investments. The role will connect power-market fundamentals with commercially relevant grid considerations, translating generation, demand, interconnection, network constraints, curtailment, losses, congestion and connection timing into robust assumptions for project valuation, auctions, route-to-market, M&A and portfolio strategy across offshore wind, onshore wind, solar PV, BESS and hybrid assets.
Responsibilities
Energy market and system modelling
- Develop, enhance and maintain transparent long-term power-market and energy-system models for selected European markets, covering demand, generation build-out and retirement, fuel and carbon assumptions, interconnection, storage, flexibility and policy scenarios
- Prepare the in-house internally owned views of wholesale prices, capture prices, cannibalisation, imbalance exposure, curtailment, ancillary-service value, capacity-market revenues and asset revenue stacks
- Build scenario, sensitivity and stress-testing frameworks that quantify uncertainty and clearly link model drivers to commercial outcomes
- Maintain model governance, version control, documentation, input lineage, calibration checks and reproducible outputs suitable for investment decision-making
Commercially relevant grid analytics
- Integrate connection dates, export limits, transmission constraints, locational signals, losses, charging, outage dependencies and curtailment risk into commercial models
- Develop high-level spatial and nodal indicators to compare locations, competing generation and demand, congestion, reinforcement dependencies, achieved prices and export capability
- Test grid delay, phased export, constrained operation, connection reform and network-development scenarios and quantify impacts on project value, financing metrics and bid strategy for renewable assets
- Translate technical studies and connection documentation into auditable commercial assumptions
Auctions, bids and competitive positioning
- Analyse and interpret wholesale electricity market dynamics, including price formation, system flexibility requirements, congestion patterns, ancillary service markets and evolving market design.
- Develop insights into long-term market value creation through optimisation of asset revenues, capture-price performance, storage integration, hybridisation and route-to-market strategies.
- Provide commercial leadership on market risk, revenue uncertainty and valuation assumptions across renewable generation, storage, flexibility and emerging energy technologies.
- Bridge fundamental market modelling and commercial decision-making by translating complex analytical outputs into actionable investment, trading and strategic recommendations.
BESS, flexibility and hybridisation
- Contribute to Masdar’s European storage and flexibility strategy by assessing BESS market attractiveness, revenue depth, duration value, location value, grid constraints and route-to-market maturity.
- Model BESS and hybrid asset economics across wholesale arbitrage, balancing, ancillary services, capacity mechanisms, tolling and contracted structures.
- Assess location and connection value, renewable-plus-storage operating concepts, export-capacity sharing, clipping, grid charging and curtailment mitigation.
- Analyse portfolio synergies between renewables and BESS, including hybridisation, co-location, hedging of capture-price risk, congestion management, balancing value and potential 24/7 clean-power propositions.
- Monitor emerging flexibility products and markets, including long-duration storage, demand response, reserve products, grid services and data-centre driven load growth.
Data, tools and capability building
- Develop and maintain analytical models, market simulation frameworks, structured datasets, and automated workflows to support power market forecasting, energy systems analysis, optimisation, asset valuation, and commercial strategy, leveraging Python, SQL, Excel, and leading data science and visualisation technologies
- Establish model validation, peer review, back-testing and quality assurance; document formulations, solver settings, input provenance, limitations and the distinction between observed data, external forecasts, internal assumptions and judgement.
Third party contractors and advisors
- Draft scopes of work for specialist advisors, manage inputs and deliverables, and constructively challenge methodologies and conclusions
Contribution to stakeholder relations
- Build and maintain a network of relevant contacts to support daily activities and long-term objectives of the team.
- Engage with and monitor relationships with internal and external stakeholders in order to ensure adequate knowledge transfer and completion of services as per agreed parameters.
Preferred Qualifications:
- Bachelor’s degree in electrical/power engineering, energy systems, economics, mathematics, operational research, computer science or a related analytical discipline
- Relevant Master’s/PhD degree, energy-market qualification is an asset
Preferred Experience:
- At least 5 years of relevant experience in power-market modelling, energy-system modelling, electricity-market analysis, system planning, renewable integration, investment analytics or energy advisory
- Experience incorporating transmission constraints, interconnection, curtailment or locational effects into commercial analysis.
- Practical experience with one or more recognised proprietary or open-source modelling frameworks is desirable. Examples include PLEXOS, BID3, PyPSA, Antares Simulator, OSeMOSYS, Calliope, GridPath or equivalent energy modelling tools.
- Hands-on experience with commercial modelling, market analysis, revenue forecasting and investment support for renewables and/or flexibility assets.
- Exposure to European power markets and route-to-market structures; experience with offshore wind, BESS, PPAs, CfDs, auctions or capacity markets is highly desirable
Job-Specific Skills:
- Strong understanding of European electricity-market fundamentals, merit-order dispatch and price formation, zonal and cross-border market interactions, renewable capture prices, balancing, ancillary services, adequacy and capacity mechanisms.
- Working understanding of transmission systems, interconnectors, network constraints, congestion, curtailment, losses, connection assumptions and locational effects, sufficient to translate specialist grid studies into commercial model inputs without replacing detailed power-system engineering.
- Advanced Python for modelling, optimisation, automation and analysis, together with strong Excel capability. Experience with SQL, APIs, Git/version control, reproducible development workflows, geospatial analysis and visualisation tools is preferred.
- Ability to formulate and solve quantitative modelling problems, prepare and validate large time-series datasets, calibrate and back-test assumptions, perform scenario and sensitivity analysis, investigate unexpected results and communicate uncertainty and commercial implications to senior stakeholders.
- Strong written and verbal communication, stakeholder management, constructive challenge, accuracy, documentation, confidentiality and ownership.
- Ability to challenge advisors and partners respectfully and constructively
- Proactive, curious and comfortable working with ambiguity
- Collaborative team player with strong stakeholder management skills
- High standards of accuracy, confidentiality and ownership
- Demonstrates Masdar values
- Excellent communication, interpersonal, and collaboration skills.
- Ability to facilitate knowledge transfer down to the field management.
- Ability to work independently and as part of a team.
- Strong analytical and problem-solving skills, specifically managing digitalisation and data analytics.
- Proactive and results-oriented approach.
- Excellent attention to detail and commitment to quality.
- Proficiency in Microsoft Office Suite and relevant QHSE software (e.g., environmental management systems software).
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