Intern

Job title: Intern - M&A Research Analyst

Reporting to: Consulting Analyst

Taylor is seeking a highly curious, analytical, and motivated M&A Research Analyst Intern to support our consulting team with company research, market analysis, and transaction-related work.

This role is well suited to a student interested in mergers and acquisitions, corporate strategy, finance, investment banking, consulting, or technology-enabled research. The intern will work closely with members of the Taylor team to evaluate companies, industries, executives, competitive dynamics, and potential M&A opportunities.

Taylor is committed to challenging traditional approaches within the M&A industry. We are particularly interested in candidates who are comfortable using emerging technologies, including artificial intelligence, to improve the quality, speed, and depth of research and analysis.

Key Responsibilities & Duties

• Conduct comprehensive research on public and private companies using company presentations, financial statements, earnings calls, regulatory filings, press releases, industry publications, databases, and other credible sources.
• Analyze and synthesize company and industry information, with a particular focus on identifying, evaluating, and summarizing potential M&A opportunities.
• Research industry trends, market dynamics, growth drivers, risks, and strategic developments that may influence acquisition activity or corporate strategy.
• Conduct competitive landscape analysis, identifying key competitors and monitoring their financial performance, strategic positioning, acquisitions, partnerships, and other relevant developments.
• Research CEOs, senior executives, board members, investors, and other key stakeholders, including their professional backgrounds, transaction histories, and relevant performance records.
• Prepare clear, concise, and decision-useful research materials, company profiles, market maps, presentations, and other deliverables for internal teams and clients.
• Present research findings during internal meetings with clarity, professionalism, and a strong command of the underlying analysis.
• Use artificial intelligence and other emerging research tools to assist with information gathering, synthesis, data analysis, idea generation, and workflow efficiency while applying appropriate judgment, verification, and source validation.
• Assist senior associates, directors, and other team members with client engagements, transaction research, business development, and other execution-related activities.
• Contribute ideas for improving Taylor's research methodologies, analytical processes, and use of technology.

Academic Qualifications

Candidates should be pursuing an undergraduate graduate degree in a relevant field such as: Finance, Economics, Accounting, Business Administration, or a related analytical or business discipline

Strong academic performance is preferred.

AI experience is required. Candidates should have completed coursework, projects, internships, research, or other practical experience involving artificial intelligence, machine learning, generative AI, data analytics, or related technologies.

Relevant experience may include coursework or projects involving tools and concepts such as large language models, generative AI, prompt engineering, machine learning, data analysis, AI-assisted research, workflow automation, or the application of AI to business problems.

Work Experience & Skills

It is Taylor's ambition to challenge the existing paradigm in the M&A industry and change it for the better. A key characteristic every Taylor team member must bring is radical open-mindedness, intellectual curiosity, and a desire to continuously learn, experiment, and improve.

For the M&A Research Analyst Intern role, candidates should demonstrate the following:

• Strong research and analytical skills, with the ability to locate, assess, synthesize, and communicate information from multiple sources.
• Demonstrated experience using AI tools in an academic or professional setting, with an understanding of both their capabilities and limitations.
• Ability to use generative AI tools effectively for research, analysis, synthesis, and productivity while independently validating outputs and underlying sources.
• Strong interest in M&A, corporate strategy, financial markets, private equity, investment banking, consulting, or related areas.
• Advanced proficiency with Microsoft Office, particularly Excel and PowerPoint, and an ability to create professional, client-ready materials.
• Excellent time-management and organizational skills, with the ability to manage multiple assignments and consistently meet deadlines.
• Strong attention to detail and a high standard for accuracy.
• Ability to work collaboratively and communicate effectively within a team environment.
• Creative and structured problem-solving skills, with a willingness to challenge assumptions and explore new approaches.
• Strong written and verbal communication skills, including the ability to distill complex research into concise conclusions and effectively present findings.
• High level of intellectual curiosity, initiative, professionalism, and willingness to learn.

Preferred Qualifications

Although not required, preference may be given to candidates with experience in one or more of the following areas:

• Financial statement analysis or financial modeling
• Investment banking, private equity, venture capital, consulting, corporate development, or equity research
• Company or industry research
• Market sizing or competitive intelligence
• Python, SQL, data visualization, or other analytical tools
• AI-enabled research or workflow automation
• Building custom GPTs, AI agents, automated research workflows, or similar applications
• Capital IQ, PitchBook, FactSet, or similar financial databases
• Available 15-20 hours per week