Senior Techno-economics Analyst at Cfsenergy

Join the power movement as a Senior Techno-economics AnalystFor fusion power plants to be successful they must be economically competitive with other power generation technologies. The techno-economic analyst is responsible for developing models critical to evaluating fusion power plants' financial viability and commercial desirability. The candidate will work closely with internal CFS team members to create and evolve economic models, run sensitivity analysis, identify opportunities for improvement and provide input to design, engineering, and R&D on impacts. This role will serve an important function within the business development team supporting communicating the benefits of fusion energy to customers and key stakeholders.



What you'll do:

Deliver:

Continue the development of techno-economic modeling at CFS to characterize the future costs and benefits of ARC, the world’s first commercial fusion power plant

Incorporate expectations for learning and experience benefits as the company develops additional power plants

Establish and maintain company best practices and lessons learned related to analytical methods and models. Systematically work to improve models and analysis over time

Develop and assess ARC pricing and go to market approaches, including alternative applications of ARC beyond electricity

Track and maintain current assessment of ARC competitiveness compared to other energy solutions

Model the economic impact of ARC power plants for communities, regions, and states

Support individual project level analysis, including regional and local specifics, financing structures, and incentives

Expand economic modeling to target foreign markets to help inform go-to-market strategies

Work closely with the Scientific Software team to maintain the modeling tools and their underlying assumptions over time

Collaborate closely with Research and Development (R&D), Engineering, Manufacturing, Scientific Software, System Engineers, Finance, Business Development, and external stakeholders to collect primary data, populate techno-economic models, productionalize the model, and validate model fidelity

Provide support for non-power plant business functions and other duties as assigned

Prepare briefing materials, write and publish research results in internal technical reports and public facing presentations, including collaborations with key external partners

Support Investor Relations, Business Development, Corporate Finance, and Engineering teams as needed, and on-demand with queries and reports

Strategize:

Work closely with procurement to refine estimates for costs for the power plant and associated systems

Identify key areas of risk, uncertainty, and variability within models and develop mitigation strategies with the business to alleviate where possible

Serve as a feedback loop to the R&D and engineering organizations to understand the key levers to continuously drive down ARC costs and LCOE

Synthesize quantitative results to provide insight into potential future technology research and development opportunities and design decisions

Problem Solve: 

Apply quantitative and qualitative research, case studies, literature reviews, and learnings from internal and external subject matter experts to identify key variables and sensitivities important to determining the costs and value of ARC

Model the first-of-a-kind and future generations of fusion power plants under a wide range of development and deployment scenarios

Support the evaluation of new R&D opportunities, Open Innovation pathways, technology advancement, and market opportunities

Respectfully raise concerns, providing a sound rationale or data to support perspectives

Support potential customers, sponsors, partners, and investors in diligence processes

Support management in developing scope, budget, and schedule for new projects based on matching expertise and capabilities to research needs and project opportunities

What we're looking for:

Bachelor’s Degree in Engineering, Engineering Technologies, Business, Finance, Economics, Math, Physics or a related field

Exposure to or professional knowledge of energy systems

Experience working on quantitative analysis with probabilistic models

Experience working in cross-functional teams and facilitating collaboration across domains

Experience managing stakeholder relationships, including prioritizing and executing disparate sets of deliverables on tight timelines with clear communication

MS Excel - Mastery

MS Power Point - Proficiency

Probabilistic modeling and forecasting

Ability to work collaboratively in a team environment as well as autonomously to close gaps.

Capable of executing on mid to long-term assignments that are loosely defined

Understand the calculation, derivation, and drivers of variability of key industry metrics including, but not limited to, levelized cost of energy, overnight capital costs, internal rate of return, and utility return on equity

Professional knowledge and understanding of thermodynamics and engineering fundamentals, with ability to solve analytical problems related to energy usage and plant optimization from first principles

Generates work plans, defines milestones for own tasks, and helps define processes that impact direct work. Contributes to process improvement

Strong organizational abilities to manage many various cases and scenarios

Ability to map out and understand complex interconnected systems

Exquisite attention to detail applied across a multitude of systems, ensuring comprehensive analysis and identification of gaps in quality or detail

Reliable and persistent work ethic, seeing tasks through to completion. Stays determined in the face of uncertainty and setbacks

Ability to identify the right level of detail for a given task and flexibility to adapt to modeling both rough, quick estimates for establishing development priorities and detailed, reliable models for finalizing project specifications

Adaptability to a start-up environment, capability to take initiative, develop own tasks and timelines, and solve broad, ambiguous problems

Operates with general guidance from management and increasingly takes

Bonus points for:

5-10 years of relevant industry experience

Experience with detailed process modeling of emerging technologies and techno-economic models of new technologies and systems

Cross-functional experience in energy system engineering, business development, and financial modeling

Experience developing probabilistic models with a focus on energy system modeling and optimization

Comfort with mathematical modeling and tool development in python

Must-have requirements:

Ability to lift up to 50 lbs occasionally

Perform activities such as typing, standing, and sitting, for extended periods of time

Willingness to occasionally travel or work required nights/weekends/on-call

Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics

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