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Financial Analyst Intern - Greenfire Energy

Institute for Climate and Sustainable Growth - University of Chicago
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Financial Analyst Intern

 About Our Organization

GreenFire Energy is a tech-enabled next-generation geothermal developer delivering scalable, baseload power to energy-intensive industries. As one of the premier startups reshaping the geothermal landscape, GreenFire Energy is leading the charge toward a more sustainable energy future. By matching technology to geology, we take a technology-agnostic approach, integrating AGS, EGS, and conventional methods—to select the best solution for each resource and accelerate deployment with reduced risk. We specialize in co-located, behind-the-meter (BTM) solutions and revitalizing underutilized geothermal fields to create productive, low-carbon energy assets. By applying advanced heat recovery techniques and proven oil and gas technologies, we reduce risk, maximize efficiency, and accelerate time to revenue. With a growing portfolio of international patents and strategic partnerships, GreenFire Energy is driving the transition to sustainable, always-on power—on track to develop 150 MWe of geothermal capacity by 2030 and become a top global geothermal producer by 2040.

 

For more information: https://www.greenfireenergy.com/

 

Why This Internship

This is a hands-on corporate development and fundraising role, not a classroom-style internship. The intern will work directly with senior leadership during a live Series B capital raise, supporting investor diligence, valuation analysis, and strategic positioning. By the end of the internship, the intern will have gained direct exposure to venture capital fundraising, energy project economics, and executive-level decision-making in a high-growth clean energy company.

 

Job Title and Work Location

  • Work Location: Remote (U.S. based)
  • Schedule: Full-time, 40 hours per week, standard business hours
  • Duration: May-August 2026 (10 weeks during summer - start and end dates negotiable)

 

Job Duties and Responsibilities 

Reporting to the VP, Operations & Asset Management, this internship will support financial planning and analysis across our portfolio while also helping bridge the gap between technical project data and financial decision-making. A key focus of the role is standardizing and automating outputs from the technical team—including wellbore details, drilling, surface facility costs, and MWe production forecasts—and converting these into reliable, repeatable financial models and dashboards.

Financial Planning & Analysis

  • Build and update project-level financial models, including cash flows, operating assumptions, sensitivities, and scenario analyses.
  • Support consolidation of multiple project-level financial models into a standardized portfolio roll-up, enabling consistent comparisons across assets and scenarios (e.g., capex timing, production, pricing, opex, and risk cases).
  • Help develop and maintain a corporate-level portfolio financial model that aggregates project cash flows into company-wide views (e.g., consolidated revenue, EBITDA / cash burn, capital requirements, and return metrics).
  • Build portfolio dashboards and summary outputs that translate project results (NPV/IRR, payback, sensitivities) into executive-ready reporting and investment prioritization views.
  • Assist with portfolio scenario planning (e.g., project sequencing, commercialization timing, drilling schedule shifts, and cost inflation cases) and clearly document key drivers and sensitivities.
  • Support long-range planning by analyzing revenue drivers, cost structures, and project risk factors.

 

Technical Data Integration & Standardization

  • Work closely with the technical team (reservoir, drilling, engineering) to understand and standardize data outputs such as:
    • Wellbore capital expenditures
    • Temperature, flow, and resource data
    • Surface Facilities & MWe output forecasts
  • Partner with reservoir, drilling, and facilities engineers to source, review, and validate key technical assumptions used in financial models (e.g., MWe forecasts, decline profiles, well count, drilling durations, temperature/flow inputs, parasitic loads, uptime/availability).
  • Establish an assumption “source of truth” by documenting assumption owners, effective dates, revision history, and rationale—ensuring auditability from technical basis → financial output.
  • Create consistent data schemas, templates, or processes to ensure technical outputs feed cleanly into financial models.
  • Apply structured documentation practices so technical-to-financial workflows can be repeated and scaled.

 

Coding, Automation & Reporting Improvements

  • Build scripts or automation tools (e.g., Python, R, Excel VBA, Power Query, SQL, or similar) to:
    • Clean and aggregate wellbore and cost data
    • Merge technical datasets with financial assumptions
    • Automatically update KPIs, dashboards, or reporting packages
  • Support development of a standardized reporting toolkit for Asset Management that links technical performance to commercial outcomes.
  • Improve data integrity by implementing checks, validation logic, and alert mechanisms for outliers or missing data.

 

Project Performance & Reporting

  • Pair technical production data with financial outputs (revenue, costs, IRR, NPV) to derive project-level performance insights.
  • Track and analyze KPIs such as effective production capacity (MWe), operating costs, and well performance trends.

Translate project-level performance metrics into portfolio-level insights to support prioritization, capital allocation, and decision-making.

Cross-Functional Collaboration

  • Participate in recurring cross-functional stakeholder meetings (e.g., engineering, operations, commercial, project management, and leadership) to obtain and confirm inputs required for FP&A activities (budgets, forecasts, variances, risks, schedule changes).
  • Synthesize meeting outputs into actionable FP&A updates, including assumption updates, key risks/opportunities, and changes to project schedules/cost estimates that impact forecasts and portfolio outlook.
  • Assist VP of Asset Management with ad hoc analyses, board-level materials, or investor-requested data.

Mentorship & Learning

  • The intern will receive direct mentorship from the VP, Operations & Asset Management, including regular check-ins, feedback on deliverables, and exposure to investor meetings. The role is designed to provide meaningful responsibility while building practical skills in finance, strategy, and capital markets.

Requirements

  • Required Qualifications
  • Currently pursuing a degree in Finance, Data Analytics, Engineering Management, Economics, Business, or a related quantitative field.
  • Strong foundation in financial modeling, corporate finance concepts, and discounted cash flow analysis.
  • Proficiency in Excel (pivot tables, advanced formulas, data cleaning).
  • Basic experience with at least one scripting or analytics tool (Python, R, SQL, MATLAB, or Excel VBA).
  • Ability to interpret technical or engineering data and translate it into financial insights.
  • Strong analytical, quantitative, and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently in a remote environment and manage deadlines.

 

  • Preferred Qualifications
  • Experience building automated reporting tools or pipelines (Python, pandas, Power Query, etc.).
  • Familiarity with data visualization tools (Power BI, Tableau, Looker, or similar).
  • Exposure to energy, geothermal, oil & gas, renewables, or infrastructure project modeling.
  • Understanding of engineering or geoscience datasets (well logs, drilling costs, production forecasting, etc.).
  • Experience standardizing data outputs or building reusable templates/workflows.
  • Ability to read or interpret technical summaries from engineering teams.
  • Interest in renewable energy, decarbonization, project finance, or asset optimization.

 

Class Level Eligibility 

This internship is open to all upper level and Master-level students students that meet the requirements.

 

Required Materials

  • Resume
  • Cover Letter
  • Unofficial Transcript

 

Funding

Stipend: $6,320 - This role is funded by the Institute for Climate and Sustainable Growth.