Grid Analyst

Please note: Applicants should be UK based and already have the right to work here.

To build and maintain Masdars 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 Masdars 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.

Qualifications :

Preferred Qualifications:

• Bachelors degree in electrical/power engineering energy systems economics mathematics operational research computer science or a related analytical discipline
• Relevant Masters/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

Additional Information :

• 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).

As part of the application process we will collect store and process personal information about you.

Masdar will use your personal information in accordance with our Candidate Privacy Notice which provides details on the purposes for which your data is processed.

Remote Work :

No

Employment Type :

Full-time