Domain Researcher, Finance (M&A)

Job Title: Domain Researcher, Finance (M&A) Job Type: Full-time Location: Remote The Role Join our research team as a Domain Researcher (DR), where you'll help advance AI-powered financial reasoning, with a focus on Corporate Development, Mergers & Acquisitions (M&A), and strategic transactions. We're looking for professionals with hands-on experience in corporate development, acquisition evaluation, and M&A execution who can translate real-world financial expertise into rigorous AI evaluation frameworks. What You'll Be Doing Design and develop evaluation frameworks, benchmarks, and scoring methodologies for AI agents operating in corporate development and M&A workflows. Create realistic test cases covering acquisition screening, valuation, financial due diligence, deal structuring, and strategic investment decisions. Evaluate AI-generated financial analyses, valuation models, acquisition assessments, and investment recommendations. Translate real-world M&A experience into structured datasets, research scenarios, and measurable evaluation criteria. Collaborate with AI researchers, engineers, and product teams to identify model limitations and improve financial reasoning capabilities. Conduct applied research and document findings to advance AI performance in corporate finance and acquisition-related tasks. What We're Looking For Strong professional experience in Corporate Development, M&A, Investment Banking, Private Equity, or Strategic Investments, with direct exposure to acquisition-related transactions. Hands-on experience across the M&A lifecycle, including target screening, valuation, due diligence, transaction analysis, or deal execution. Strong understanding of acquisition strategies, financial modeling, company valuation (DCF, comparables, precedent transactions), and strategic fit assessments. Experience preparing or evaluating investment memoranda, acquisition recommendations, and transaction-related financial analyses. Ability to translate complex financial workflows into structured research questions, evaluation frameworks, and measurable criteria. Strong analytical, critical-thinking, and communication skills, with the ability to collaborate across technical and non-technical teams. Bachelor's degree in Finance, Economics, Business, Accounting, or a related field, or equivalent professional experience. Preferred Qualifications Direct experience within an in-house Corporate Development team, particularly involving buy-side acquisitions. Experience executing or supporting M&A transactions from target identification through due diligence and closing. Background in technology-sector acquisitions, SaaS businesses, or strategic investments. MBA, CFA, or relevant advanced financial qualifications. Familiarity with AI agents, large language models, AI evaluation methodologies, or financial AI applications. Proficiency with financial modeling and analytical tools such as Excel, Python, or SQL. Compensation & Benefits Notice The national pay range for this full-time position is base salary of $200,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Originally posted on Himalayas