charlesokafor

Built NPV and IRR financial models to evaluate investment project viability and capital deployment decisions across a multi-program public sector portfolio Conducted quantitative variance analysis and root-cause reviews across P&L components, identifying financial risks and performance deviations for CFO and senior leadership Developed risk assessment frameworks and stress-tested financial assumptions across downside scenarios to evaluate investment exposure Used Python and SQL to extract and analyze large financial datasets across SAP, Oracle, and Salesforce, and built Power BI dashboards delivering investment performance insights to leadership Led annual forecasting and quarterly planning cycles, aligning capital deployment plans with organizational priorities Prepared monthly investment performance reports, analytical briefing notes, and executive presentations for senior leadership and government stakeholders

Built DCF, LBO, comparable company analysis, and precedent transaction valuation models for buy-side and sell-side mandates across banking and fintech sectors Evaluated credit risk and analyzed fixed income instruments, bond yields, and capital structure optimization across debt advisory mandates Conducted portfolio valuation, cash flow modeling, and scenario analysis to support investment committee decisions Developed integrated three-statement models and merger/acquisition models to assess deal structures and post-transaction capital optimization Prepared company, industry, and economic outlooks, investment committee briefing notes, and analytical reports for senior and C-suite audiences Used Python and SQL to analyze large financial datasets supporting portfolio monitoring, credit assessment, and investment performance reporting

Built financial models supporting investment performance analysis, annual budgeting, and rolling forecasts using Excel and Microsoft Dynamics Designed Power BI dashboards surfacing return metrics, KPIs, and portfolio performance data for executive and board-level review Used Python and SQL to extract, validate, and analyze financial data across enterprise systems Prepared monthly financial statements, variance analysis reports, and management accounts with structured written commentary

Managed treasury operations and fixed income analysis, monitoring bond positions, interbank borrowings, and funding cost metrics to support capital allocation and debt management decisions Monitored market risk indicators including liquidity ratios, loan-to-deposit ratios, and interest rate sensitivity Prepared regular risk profiles and treasury performance reports for senior management and regulatory review Analyzed transaction data for credit risk signals and contributed to risk management frameworks within the core banking system