Mergers & Acquisitions (M&A) Analyst - Remote

YO IT Consulting; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

YO IT Consulting is seeking a Senior M&A Analyst to refine AI responses related to mergers and acquisitions. The role involves evaluating complex financial scenarios, providing structured feedback, and ensuring model accuracy on transaction mechanics. Candidates should have over 3 years of direct experience in M&A or investment banking, a strong finance education background, and skills in financial modeling and valuation methodologies. This position offers a unique opportunity to contribute to AI understanding in high-stakes finance contexts, fully remote.

Qualifications

• 3+ years of hands-on experience in M&A, investment banking, or a related field.
• Experience with financial modeling, including DCF and merger models.
• Deep knowledge of M&A transaction processes and valuation methodologies.
• Proven ability to evaluate complex business combinations and assumptions.

Responsibilities

• Evaluate AI model responses involving M&A analysis and valuation.
• Review model outputs for accuracy and quality.
• Identify errors in merger models and financing structures.
• Design challenging M&A scenarios for AI testing.

Skills

Mergers and Acquisitions

Financial Modeling

Valuation Methodologies

Due Diligence

Transaction Advisory

Education

Bachelor’s degree in Finance, Accounting, Economics, Business or related field

MBA, CFA, CPA or relevant advanced credential

Job description

Job Type: Contractor

Location: Remote

Role Description

If you’re a senior M&A professional who thrives on rigorous financial analysis, transaction logic, valuation nuance, and clear investment reasoning, this is a unique opportunity to contribute directly to how the next generation of AI systems understand deal‑making. We’re looking for experienced M&A analysts who can evaluate complex acquisition scenarios, identify flawed assumptions, assess strategic rationale, and explain transaction mechanics with precision. You’ll challenge advanced language models on domain‑specific topics—to strengthen model reasoning in high‑stakes finance contexts.

Your Profile

• 3+ years of hands‑on experience in mergers and acquisitions, investment banking, corporate development, private equity, transaction advisory, or a closely related field.
• Significant hands‑on work with financial modeling, including DCF analysis, comparable company analysis, precedent transactions, merger models, and accretion/dilution analysis.
• Deep knowledge of M&A transaction processes, deal structuring, due diligence, valuation methodologies, financing considerations, and strategic rationale.
• Strong understanding of financial statements, enterprise value, equity value, working capital, purchase accounting, synergies, tax considerations, and shareholder impact.
• Proven experience evaluating complex business combinations, acquisition targets, transaction assumptions, and investment committee‑style recommendations.
• Demonstrated experience in preparing, reviewing, or advising on transaction materials such as CIMs, management presentations, board materials, diligence reports, or investment memos.
• Bachelor’s degree in Finance, Accounting, Economics, Business, or a related field required; MBA, CFA, CPA, or relevant advanced credential preferred.
• Previous experience with AI data training, annotation, or evaluating AI‑generated technical content is a strong plus.

Key Responsibilities

• Evaluate and refine AI model responses involving M&A analysis, valuation, transaction structuring, due diligence, and strategic finance.
• Review AI‑generated prompts, model outputs, financial reasoning, assumptions, calculations, and written explanations for accuracy and professional quality.
• Identify errors in merger models, accretion/dilution logic, enterprise value calculations, purchase accounting, synergy assumptions, and financing structures.
• Provide structured feedback that explains why an answer is correct, incomplete, misleading, or analytically unsound.
• Design or review challenging M&A scenarios that test whether models can reason through real‑world transaction complexity.
• Shape AI communication standards for finance‑related responses, ensuring outputs are clear, precise, appropriately caveated, and suitable for professional users.
• Support benchmarking efforts by comparing AI‑generated responses against expert‑level financial analysis and transaction best practices.
• Review and refine AI‑generated prompts and responses to improve consistency, factual accuracy, and analytical depth across M&A workflows.