Draft letters for seller-led M&A processes, including initial offer instructions, final bid requirements, and management meeting invitations. Organize deadlines, submission details, evaluation criteria, and meeting logistics into Word documents for client review.
Review quarterly updates and financials across portfolio companies to identify practical AI opportunities. Rank them by estimated profit impact, speed, and feasibility, then outline first steps and approaches that other companies can reuse.
Track multiple M&A, financing, or restructuring deals in an Excel workbook. Organize stages, milestones, deadlines, and assigned tasks, flag delays and risks, and prepare a weekly review covering developments and upcoming work.
Screen incoming investment opportunities against a fund’s criteria using company sale memoranda, short deal summaries, or broker materials. Extract financials and risks, assess fit, and produce a one-page memo with a recommendation and first-call questions.
Prepare for investment diligence meetings with management, experts, customers, or advisors. Create a one-page brief with prioritized questions, comparison metrics, concerns to investigate, and follow-up requests based on the meeting's purpose and existing findings.
Model how an acquisition changes the buyer’s earnings per share. Compare purchase prices, cash and stock payment mixes, and synergy assumptions, then produce an Excel workbook and a one-page summary of the deal’s financial effects.
Create and maintain due diligence checklists for acquisitions or investments. Tailor requests to the company and deal, track owners and review status, and summarize missing documents and issues that could affect valuation or deal terms.
Structure a post-acquisition improvement plan linking revenue, cost, and operational initiatives to EBITDA, a profit measure. Produce a roadmap with 100-day priorities, performance targets, responsible owners, and an Excel model showing each initiative’s profit contribution.
Find potential companies for private equity investment, check past correspondence and internal discussions for existing relationships, and draft personalized introductory emails to founders. Produce a researched shortlist and concise outreach drafts for review.
Turn current, prior-period, and budget figures into a financial variance commentary table. It identifies lines needing explanation, traces changes to underlying business activity, and adds a short narrative covering the period's largest movements.
Reconcile general ledger and subledger extracts for the same entity, asset class, and date. Match transactions or positions, report differences in amounts, quantities, or posting dates, and summarize likely causes alongside the matching rate.
Assess whether bonds are expensive, cheap, or fairly priced by comparing yields with government rates and credit risk benchmarks. Combine spread breakdowns, historical context, and interest rate scenarios into tables and a recommendation.
Build an Excel comparison of public companies using financial performance, valuation ratios, and statistical benchmarks. The spreadsheet includes formulas, source notes, medians, and quartiles to show how each company compares with its peers.
Build a competitive analysis presentation covering market context, company performance, strengths, and weaknesses. Compare competitors using consistent metrics, visualize their market positions, and summarize lasting advantages and structural risks for strategic or investment discussions.
Apply a firm's customer verification and anti-money-laundering rules to structured onboarding records. Produce risk ratings, rule-by-rule findings, missing-document lists, and review routing with supporting evidence, while leaving approval to human reviewers.
Find stock investment candidates by combining financial filters with research into investment themes. Produce five to ten long or short ideas, each with a rationale and risks, plus a comparison table and priorities for further research.
Prepare a one-page briefing before a company's quarterly earnings report. Gather market estimates, rank key metrics, and outline optimistic, baseline, and pessimistic scenarios, including the developments that could influence the stock's reaction.
Create quarterly earnings reports for companies already being followed. Compare results with market expectations, explain differences, revise forecasts, and assess the investment case in a Word document with charts, summary tables, and linked sources.
Reviews client presentations for conflicting numbers, claims that do not match the data, language issues, and visual problems. Findings identify the affected slides and are ranked by severity to help prioritize fixes before delivery.
Check investor statements against a fund's NAV pack, the records of its net asset value. Recalculate each investor's capital balance, compare statement lines, and report discrepancies with their causes before statements are distributed.
Build a PowerPoint file with Python when no Office app is open. It uses python-pptx, applies a supplied firm template when available, and saves the deck locally with a path for collection by the surrounding workflow.
Track upcoming events that may affect investments, including earnings, product launches, regulatory decisions, and economic releases. Create a sortable Excel calendar and weekly preview covering event importance, expectations, and potential effects on existing positions.
Fill an existing investment banking PowerPoint template with data from Excel, CSV, and other source documents. The workflow maps content to slides, checks figures, formats tables and shapes, and reviews consistency across the finished presentation.
Analyze price differences between bond futures and cash bonds, identify the cheapest bond to deliver, and compare implied financing rates with market rates. Present valuation tables and historical context to assess potential basis trades.
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