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About the Role
This role supports the development of analysis for Argus Media Group's advisory work, focusing on long-term power advisory capability. It's an opportunity for an individual with Power analysis and forecasting experience to lead the development of new services and become a market expert.
Responsibilities
- Shape and deliver consultancy advisory work for clients in the power sector, including price & market due diligence, regulatory response, and investment support engagements.
- Develop and continuously improve fundamental power market models (supply, demand, dispatch, price formation).
- Translate modelling outputs into clear market views and price forecasts.
- Maintain current knowledge of major drivers and trends across the power industry.
- Identify and quantify key market risks (policy, fuel pricing, capacity shifts).
- Support client-facing deliverables (reports, consulting, presentations).
- Take ownership of specific market segments (e.g., Germany, UK, or Iberia).
- Build strong understanding of other Argus Generation Fuel services, data and capabilities to ensure market views are consistent across offerings.
- Work with stakeholders across other Argus teams, including Analytics, to ensure relevant knowledge is shared and used effectively.
- Act as Subject Matter Expert where needed.
- Contribute to the development of Argus' view on how power markets will develop through energy transition.
Requirements
- Educated to degree level (2.1 or above) from a leading university.
- Strong understanding of Power markets, how they operate and key market trends, gained through 3-5+ years in the industry.
- Highly numerate with experience analyzing comprehensive datasets quickly and meticulously with excellent attention to detail and accuracy focus.
- Intellectually curious and able to demonstrate structured problem solving and analytical skills.
- Exceptional communication and relationship building skills.
- Ability to handle multiple tasks to deadline and to meet targets.
- Flexible in approach, highly motivated and willing to contribute to the growth of Argus’ Consulting Services.
Skills
- Power markets analysis and forecasting
- Fundamental power market modeling (supply, demand, dispatch, price formation)
- Market risk identification and quantification
- Client-facing deliverables (reports, consulting, presentations)
- Market segment ownership
- Understanding of Argus Generation Fuel services
- Stakeholder collaboration
- Subject Matter Expertise
- Energy transition analysis
- Experience using third party Energy Modelling Software (e.g. Plexos) beneficial
- Advanced Excel and PowerPoint
- Awareness of other statistical and programming languages such as R is an advantage
Location
- Hybrid
Work Type
- Hybrid working environment (three days in office)
Experience Level
- 3-5+ years in the industry
Education Level
- Degree level (2.1 or above)
- Masters a plus
Salary/Compensations
- Competitive salary and company bonus scheme
Benefits
- Group pension scheme
- Group healthcare and life assurance scheme
- 25 days annual holiday with incremental increase up to 30 days
- Subsidised gym membership
- Season ticket travel loan
- Cycle to work scheme
- Flexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening)
- Extensive internal and external training
About the Company
- Argus Analytics forms one half of the advisory division of Argus Media Group.
- Comprising a global team of 90 analysts, we provide clients with analysis, data and forecasts across 35 commodities and markets spanning oil & gas, chemicals, fertilizers, generation fuels, metals and energy transition solutions.
- Our work is firmly focused on market fundamentals — considering end-to-end value chains, international trade flows and macroeconomic trends.
- Our value proposition centres around the quality of our analysts, the depth of our data and our ability to leverage Argus’ wider strengths, including 55 years of commodity markets expertise, unrivalled global networks and proprietary datasets.