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Investment Banking Intern

PublishedPublished: 6/14/2022
Technology

Job Description

Company Description

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Spark & Logic is an AI-native investment bank focused on founder-led software and AI companies. The firm has rebuilt traditional M&A for the AI era, providing a faster, more intelligent, and highly transparent process centered on maximizing client valuation. Spark & Logic supports private companies across transaction readiness, M&A, growth capital, and liquidity events. The team has a consistent track record of executing outstanding transactions with blue-chip strategic acquirers and leading private equity investors, offering interns exposure to high-caliber deal-making in a technology-driven environment.

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Role Description

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Interns support live and prospective transactions by building and updating financial models, conducting market and company research, and assisting with due diligence on founder-led software and AI businesses. Day-to-day tasks include building AI tools and systems to help prepare pitch materials and client presentations, analyzing industry trends and comparable companies, and maintaining internal deal tracking and data rooms. Additionally, there a large of the job will be working on new client sourcing initiatives and helping build out the client origination systems at the firm. This role is designed for individuals seeking rigorous analytical and technical training and exposure to fast-paced M&A transactions.

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Qualifications

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  • Strong analytical skills with the ability to solve complex problems
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  • Passion for AI tooling and systems design
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  • Proficiency in financial modeling and valuation techniques relevant to investment banking.
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  • Currently pursuing or recently completed a degree in Finance, Economics, Business, Computer Science, Mathematics, or a related field.
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  • Advanced technical skills; familiarity with AI agents, financial databases, and analytical tools
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  • Clear written and verbal communication skills, with superior attention to detail and accuracy.
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  • Demonstrated interest in software, AI, and technology-driven business models
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Part-time / flexible hours offered for college students.

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