Senior Corporate Development Analyst

About the role

The Global Corporate Development (GCD) team sits within Wolters Kluwer's Global Strategy group, which reports to the CEO and Chair of the Executive Board, giving the team a direct line of sight to Group-level capital allocation and portfolio strategy. The team is a driving force behind the company's inorganic growth strategy, partnering with divisional general managers and senior executives across all five of Wolters Kluwer's global divisions to source, assess, structure, and execute transactions.

The culture is collaborative, low-ego and high-performing, with a track record of developing talent and promoting from within. Over the last two years, the GCD team has executed nearly US$2 billion in transactions in both the US and Europe. Deal sizes typically range from US$5M to 500M, creating a dynamic environment where team members can take the lead on smaller transactions while directly contributing to larger, more complex deals. This role provides exceptional visibility to senior leadership within a highly acquisitive organization.

Responsibilities

• Pipeline Management: Process deal opportunities and maintain DealCloud CRM to ensure visibility for senior stakeholders; write up initial perspectives on opportunities.
• Financial Modelling & Valuation: Build and maintain valuation analysis (corporate M&A model, deal comps, trading comps) and ad hoc financial analyses (e.g., ARR customer cube) tailored to software and SaaS businesses.
• Operating Model Development: Build flexible, multiple-case, driver-based operational models to support business cases and scenario analysis.
• Executive Presentation Preparation: Prepare concise, impactful materials for investment committee and board-level review; translate complex findings into actionable insights.
• Project Management: Track deal timelines, open items, and cross-functional workstream deliverables across full-cycle software and tech transactions.
• Due Diligence Coordination: Coordinate and provide support to cross-functional diligence teams (product, strategy, legal, finance, tax, HR) and external advisors (TDD, FDD, CDD).
• Advisor & Counterparty Engagement: Support engagement with targets, banks, PE funds and transaction advisors.
• Divestiture Support: Support divestiture activity including carve-out preparation and self-due diligence.
• Transaction Administration: Support critical activities across the deal lifecycle including processing NDAs with legal and preparing offer letters.

Qualifications For Success

• Experience: 2–5 years in investment banking, private equity, or corporate development with demonstrated end-to-end M&A transaction experience.
• Educational Background: Bachelor's in Business, Finance, Economics, Mathematics, Computer Science, or equivalent degree; MBA preferred.
• Industry and Financial Knowledge: Familiarity with Software, SaaS, AI and technology-enabled services business models and key operating metrics (ARR, net retention, churn, LTV/CAC, cloud vs on-prem mix, etc.). Significant financial model authoring experience commensurate with job responsibilities. Solid understanding of financial statements.
• AI Fluency Preferred: Hands-on experience building and automating M&A-related workflows using ChatGPT, Claude, Copilot, or similar platforms, including accelerating market screening, benchmarking and due diligence analysis on software assets.
• Executive Presence: Comfortable engaging with C-suite and senior leadership internally and externally; ability to read the room for appropriate engagement level.
• Communication: Exceptional written and verbal skills; able to synthesize complex information into concise executive materials.
• Organization: A preference for structure and standardization and an ability to project manage on compressed timelines.
• Intellectual Curiosity: Genuine interest in diverse businesses, emerging industries, and applied AI.
• Work Style: Proactive self-starter with strong ownership, attention to detail, urgency, and situational adaptability.
• Technical Skills: Advanced competency in Excel (valuation and driver-based models) and PowerPoint (executive-ready presentations). Proficient using financial research platforms (e.g., CapitalIQ, PitchBook) and managing data rooms.