Third Wave Capital

Third Wave Capital delivers practitioner-led corporate finance and investment training in financial modelling, three-statement modelling, LBOs (leveraged buyouts), DCF and valuation, M&A analysis and execution, private equity, leveraged finance, credit analysis, ECM and DCM.

Led by a former Citi and Rothschild investment banker with experience in public-markets investing, our programmes bridge technical expertise and practical application, using real-world financial models, transaction case studies and commercial decision-making exercises.

Our training covers four core areas:

Investment Banking, Private Equity and Credit: Financial statement analysis, integrated financial modelling, DCF valuation, comparable company analysis, precedent transactions, LBO modelling, M&A execution, merger modelling, synergies, carve-outs, spin-offs, leveraged finance, credit analysis and capital markets.

AI for Finance and Financial Services: Practical training in ChatGPT, Microsoft Copilot, Claude and AI-assisted financial workflows, including research, financial modelling, analysis, effective prompting, output validation, governance and appropriate safeguards for confidential client information and intellectual property.

Commercial Finance, Leadership and Decision-Making: Finance for non-financial managers, decision analysis, problem-solving, decision-making under uncertainty, interpreting financial information and presenting analytical recommendations to senior stakeholders.

Sector-Specific Training: Tailored programmes across healthcare, technology, financial services, industrials, energy and other sectors, combining industry dynamics, operating KPIs, valuation, competitive positioning and transaction considerations.

Programmes are designed for graduates, analysts, associates, investment professionals, corporate finance teams, senior managers and leadership teams.

Training is practical, interactive and tailored to the audience, from technical modelling workshops to senior-level commercial and strategic discussions.

Flagship Training Programmes

• Three-Statement Financial Modelling | 1–2 days. For graduates, analysts and finance teams. Build integrated income statement, balance sheet and cash flow models, incorporating forecasting, sensitivities and financial analysis.
• DCF and Corporate Valuation | 1–2 days. For investment bankers, analysts and corporate finance teams. Covers discounted cash flow modelling, valuation drivers, trading comparables, precedent transactions and valuation sensitivities.
• LBO Modelling and Private Equity | 1–2 days. For analysts, associates and private equity professionals. Build leveraged buyout models, analyse financing structures and assess sponsor returns, downside cases and exit assumptions.
• M&A Analysis and Execution | 1–2 days. For investment banking and corporate development teams. Covers merger modelling, accretion/dilution, synergies, transaction structuring, due diligence and advanced situations including carve-outs and spin-offs.
• Leveraged Finance and Credit Analysis | 1–2 days. For banking, private credit and investment professionals. Covers credit analysis, leverage, debt capacity, capital structures, covenant considerations and downside scenarios.
• ECM and DCM Fundamentals | Half-day to 1 day. For banking graduates, analysts and corporate finance teams. Introduces equity capital markets, debt capital markets, issuance structures, pricing and transaction processes.
• Finance for Non-Financial Managers | Half-day to 1 day. For managers and commercial leadership teams. Understand financial statements, financial KPIs, budgeting, cash flow, valuation and commercially informed decision-making.
• AI for Finance Teams: Copilot, ChatGPT and Safe Workflows | Half-day to 1 day. For finance, regulated and client-facing teams. Covers practical AI literacy, prompting, AI-assisted financial modelling and analysis, workflow design, human validation, AI governance and safeguards for confidential data and intellectual property.
• Decision Analysis and Presenting Financial Recommendations | Half-day to 1 day. For managers, investment professionals and leadership teams. Covers problem structuring, decision-making under uncertainty, scenario analysis, effective use of data in presentations and communicating evidence-based recommendations.

All programmes can be adapted to specific experience levels, business needs and sector requirements.

Delivery Formats and Locations

Based in: London, United Kingdom.

Geographic coverage: UK, Europe and international engagements by arrangement.

Delivery formats: In-person, virtual instructor-led and blended programmes.

Group sizes: One-to-one, small teams, analyst and graduate cohorts, and larger groups by arrangement.

Approach: Bespoke exercises, hands-on financial models, relevant transaction case studies, practical workshops and facilitated discussion.

Representative Training Engagement

European Investment Bank | Fundamentals of LBO Modelling

Third Wave Capital delivered practical, instructor-led LBO modelling training for a banking cohort.

The programme combined step-by-step instruction with hands-on financial modelling and transaction analysis, enabling participants to work through the underlying concepts and modelling mechanics.

Participant feedback highlighted the clarity of explanations, interactive delivery, practical materials and detailed walkthroughs. The programme illustrates our approach to building technical capability through exercises grounded in real transaction analysis.

Lead Trainer: Surojit Chakraverti

Surojit Chakraverti is the founder of Third Wave Capital, an investment professional and corporate finance trainer with experience across investment banking, public-markets investing and financial analysis.

He previously worked in Industrials M&A at Citi and Healthcare M&A at Rothschild, alongside experience in long-short equity investing across healthcare and technology.

He has trained more than 1,200 graduates, alongside delivering programmes to experienced professionals across financial modelling, valuation, M&A, leveraged buyouts and other advanced financial topics.

His training combines practitioner experience with practical exercises, case studies, financial models and commercial insights.

He also delivers programmes on AI for finance, decision-making and sector-specific financial analysis, with an emphasis on applying technology and analytical tools effectively in professional environments.

Training is tailored to the needs of each audience, from graduate analysts to experienced professionals and leadership teams.