Overview
Quantitative Analyst / M&A Intern (12-Week Rolling Program) Jobs in United States at Bellevue Talent Partners
Title: Quantitative Analyst / M&A Intern (12-Week Rolling Program)
Company: Bellevue Talent Partners
Location: United States
Quantitative Analyst / M&A Intern (12-Week Rolling Program)
Location: Remote (US / Global)
Duration: 12-Week Rolling Internship (2026)
Compensation/Opportunity: Highly competitive experience with direct full-time conversion potential to Quantitative Analyst and future partnership track.
About the Opportunity
This firm is a boutique merchant bank specializing in off-market platform consolidations, treating professional sports as a high-growth emerging asset class.
They are launching an intensive 12-week rolling internship supporting a complex, $1.4 billion cross-border consolidation assembling a vertically integrated Sports Licensing & Marketing platform across nine jurisdictions. This isn't a typical "coffee-run" internship; you will work directly with veteran investors and data scientists (alumni of Goldman Sachs, Nike, and Palantir) on live, large-scale M&A transactions at the intersection of finance and cutting-edge technology.
What You’ll Do
- M&A & Valuation: Build sophisticated financial models (DCF, comp tables, synergy quantification) for active acquisition targets across consumer retail, e-commerce, and manufacturing.
- AI & Workflow Automation: Design and deploy automated data pipelines and research workflows using Python and Anthropic’s Claude AI.
- Data Infrastructure: Build real-time analytics dashboards and monitoring frameworks within Palantir Foundry to track portfolio performance.
- Deep-Dive Due Diligence: Assist with intense digital and financial due diligence, fact-checking, and market research in the $38B global sports licensing market.
Who You Are
- The Background: A recent graduate with a quantitative degree (Computer Science, Finance, Economics, Data Science, Math, or a related field).
- The Tech Stack: Proficient in Excel and financial modeling fundamentals, with solid programming roots in Python, R, or SQL.
- AI Literate: Comfortable utilizing LLMs (specifically Claude) for research and process automation. Prompt engineering skills are a massive plus.
- The Mindset: Obsessively detail-oriented, analytical, and an excellent communicator who can translate dense data into clear insights for senior stakeholders.
