About the job
We are looking for Investment Managers who are ready to build the next generation of machine-learning-powered growth funding globally. You're competitive and excited to have artificial intelligence on your side, seeing and structuring dozens of venture debt deals a month like you never have before. You love taking a deal from the initial analysis through to the funding process, including negotiating directly with the company, drawing up investment memos, and presenting them at the investment committee. Your competitive advantage will be speed - working with flexible financing solutions that close large-ticket deals quickly. Once your companies are funded, you'll continue to monitor your portfolio as we continue deploying more than $1 billion/year across global markets.
Today, while many companies struggle to raise capital, you’ll be allowing tech companies to fulfill their growth potential.
You will:
• Collect and analyze tech companies’ financial and operational data
• Perform due diligence procedures using an in-house AI-based underwriting platform allowing for fast-paced analysis
• Interview founders and senior management
• Structure deals and negotiate for potential transactions
• Craft investment reports and present to investment committees
• Monitor portfolio companies on an ongoing basis
You have:
• Proven experience in financial due diligence (required), with a solid base of 5-6 years in the big four, credit firms, venture debt funds (preferred)
• Profound analytical skills focused on financial reports and large data sets
• CPA or CFA certification
• B.A in Accounting (preferable), Economics, Finance, or MBA
• High proficiency in Microsoft Excel and PowerPoint
• Familiarity with the tech/startup ecosystem - an advantage
You are:
• Driven, ambitious, and able to perform in a fast-paced, results-driven environment
• Enthusiastic and passionate with immaculate communication and interpersonal skills
• A confident team player, with the ability to work independently
• Interested in and have an understanding of the growth-stage tech landscape
