Junior (Corporate) Finance Analyst

This is a remote position.

Junior (Corporate) Finance Analyst - Remote Job, 1 Year Experience

Annual Income: $59K - $74K

A valid work permit is necessary for the US

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

Are you a passionate finance professional with a keen interest in renewable energy and emerging markets? Do you thrive in a dynamic environment where you can leverage your analytical skills to support sustainable growth? If so, then this Junior (Corporate) Finance Analyst role at [Your Company] is the perfect opportunity for you!

In this critical role, you'll play a vital role in driving our investment strategy for the future by building financial models, analyzing opportunities, and supporting key financial processes.

Here's what you'll do:

• Renewable Energy Champion: Build and optimize financial models for innovative renewable energy technologies and emerging markets, shaping our investment decisions for a sustainable future.
• Financial Modeling Maestro: Track, update, and maintain project-level budgets and reports to ensure accurate financial planning and reporting.
• Market & Feasibility Analyst: Conduct quantitative feasibility analysis on new markets, participants, projects, and trends, identifying the most promising opportunities.
• Risk Management Expert: Perform risk forecast analysis to assess potential risks associated with our existing portfolio and new investments, ensuring informed decision-making.
• Investment Reporting Powerhouse: Assist in managing corporate financial models, monitor market trends, and generate insightful monthly and quarterly reports for our existing investment portfolios.
• Investment Business Case Collaborator: Work collaboratively with the finance team to build compelling investment business cases that support strategic growth initiatives.
• Deal Execution Partner: Support the capital markets team in due diligence, deal execution, and investment documentation, ensuring a smooth and efficient investment process.
  
  

To be successful, you'll need:

• A Bachelor's degree in Finance, Accounting, or a related field.
• Excellent quantitative analysis skills with a passion for using data to drive financial insights.
• Strong financial analysis skills and proficiency in Microsoft Excel.
• Excellent presentation and communication skills to present complex financial information to diverse audiences effectively.
• The ability to analyze large datasets, extract key results, and communicate findings clearly and concisely.
• A proactive and collaborative work style with the ability to manage multiple tasks efficiently.
• A highly organized and detail-oriented approach, ensuring adherence to procedures and meeting deadlines consistently.
  
  

Preferred Qualifications:

• 1 year of relevant experience in solar project finance.
• Prior experience working at a utility, investment fund, or investment bank (a plus).
  
  

We offer:

• The opportunity to play a vital role in shaping our investment strategy for a sustainable future.
• A dynamic and collaborative work environment where you can learn from experienced professionals and develop your financial expertise in the renewable energy sector.
• The chance to contribute to a company that is passionate about making a positive impact on the environment.
• A competitive benefits package and a career path that values your analytical skills and financial acumen.
  
  

Ready to become a green finance guru and help us invest in a sustainable future? Apply today!

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

Pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.