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Renewable Power Financial Modeling Jobs (NOW HIRING)

Power Developer - ERCOT

$145K - $180K/yr

... renewable power generation. Intersect was acquired by Google in March 2026 and operates as an ... Own project financial models and economic analysis to guide key transactions and decisions

Power Systems and Controls Engineer Location: Remote Reports To: VP of Operational Technologies ... This includes developing advanced high-fidelity models for renewable plants, inverters, plant ...

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Power Systems and Controls Engineer Location: Remote Reports To: VP of Operational Technologies ... This includes developing advanced high-fidelity models for renewable plants, inverters, plant ...

Power Systems and Controls Engineer Location: Remote Reports To: VP of Operational Technologies ... This includes developing advanced high-fidelity models for renewable plants, inverters, plant ...

... and renewable power generation, LNG, oil and gas pipelines, petrochemicals, refining, and ... Review of financial models * Preparation of financial plan for bid submissions * Review and comment ...

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Renewable Power Financial Modeling information

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$56.5K

$117.5K

How much do renewable power financial modeling jobs pay per year?

As of Jun 25, 2026, the average yearly pay for renewable power financial modeling in the United States is $113,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Renewable Power Financial Modeling, and why are they important?

To excel in Renewable Power Financial Modeling, you need strong quantitative analysis, financial modeling expertise, and knowledge of energy markets, typically supported by a degree in finance, economics, engineering, or a related field. Proficiency with Excel, financial modeling software (such as MATLAB or Python), and familiarity with project finance structures and renewable energy regulations is essential. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These skills and qualities are crucial for accurately forecasting project returns, supporting investment decisions, and facilitating successful renewable energy projects.

What is renewable power financial modeling?

Renewable power financial modeling is the process of creating detailed financial models to evaluate the economic viability, risks, and returns of renewable energy projects such as solar, wind, and hydroelectric power. These models typically forecast cash flows, analyze project financing structures, calculate key metrics like IRR (Internal Rate of Return) and NPV (Net Present Value), and assess the impact of various technical and market assumptions. The goal is to help developers, investors, and lenders make informed decisions about funding and operating renewable energy projects.

What is the difference between Renewable Power Financial Modeling vs Renewable Power Analyst?

AspectRenewable Power Financial ModelingRenewable Power Analyst
Primary FocusBuilding financial models for renewable energy projectsAnalyzing project data and market trends
Skills RequiredFinancial analysis, Excel, valuation techniquesData analysis, industry knowledge, reporting
CertificationsFinancial modeling certifications, CFA (optional)Industry-specific certifications (e.g., renewable energy courses)
Work EnvironmentFinancial teams, project development firmsResearch firms, energy companies, consulting

Renewable Power Financial Modeling primarily involves creating detailed financial models to evaluate project viability and investment returns. In contrast, a Renewable Power Analyst focuses on analyzing data, market trends, and project performance to support decision-making. Both roles require strong analytical skills, but the modeling role emphasizes technical financial expertise, while the analyst role emphasizes industry knowledge and data interpretation.

How does a Renewable Power Financial Modeling professional typically collaborate with engineering and project development teams?

In this role, collaboration with engineering and project development teams is essential to accurately forecast costs, revenues, and risks for renewable energy projects. Financial modelers work closely with engineers to understand technical parameters that impact financial outcomes, such as energy yield estimates and construction timelines. They also partner with project developers to incorporate regulatory, permitting, and market factors into their models. This cross-functional teamwork ensures that financial models reflect realistic assumptions and support sound investment decisions.

Senior Analyst / Associate - Risk Management (Financial Modeling)

HASI

Annapolis, MD • On-site

$105K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About HASI
HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $16 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit hasi.com.
Position Summary
HASI is currently seeking an Analyst or Associate with strong financial modeling and analytics experience to join our team in Annapolis, MD. This individual will work with the Portfolio Management Team in providing modeling support for transaction closings and HASI's growing sustainable investment portfolio. The core responsibilities of the role will include building, auditing and managing financial models, and providing analytics support across the organization.
Salary
Expected salary range of [$105,000 - $160,000] based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more.
Responsibilities
Work with a cross-functional finance team (Risk Management, Portfolio Management, Investments, Capital Markets, Accounting) to build, audit and manage financial models.
Support with developing, improving, reviewing, and auditing transaction models.
Assist with developing and managing portfolio models for multiple asset classes.
Work with IT teams to support corporate-wide databases, data analysis and model-automation developments.
Education and Recommended Knowledge & Skills
Bachelor's degree from a four-year institution or Master's in Finance, Economics or Business; CFA Charter holder or CFA candidate would be a plus.
Excellent MS Excel financial modeling and data mining skills with demonstrable experience developing and managing complex financial models.
Experience in renewable energy project finance/valuation or finance/investment banking in the power sector would be a plus.
Demonstrated interest in sustainable investing with the desire to focus primarily on financial modeling and analytics.
Detail-oriented, collaborative, dependable and reliable team member with strong work ethic and positive attitude.
Excellent written and verbal communication skills.
Experience with modern data analytics and reporting tools (Business Objects, SQL, SSMS, SSIS, R, PowerBI, Tableau) would be a plus.
WORK AUTHORIZATION
HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time.
EEO STATEMENT
The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.