Financial Analyst and Corporate Banking Analyst
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Warwick Economics graduate seeking entry-level position in the Financial industry.
Supported financial and macroeconomic analysis to assess liquidity risk, stress scenarios, and performance behaviour across portfolios.
Used Python, Excel, and SQL to validate data, reconcile datasets, and ensure robustness of analytical outputs.
Built scenario and sensitivity frameworks to identify risks, dependencies, and downside exposures relevant to investment and risk decision-making.
Maintained clear documentation of assumptions, methodologies, and outputs to support internal review and governance standards.
Core skills gained: portfolio risk analysis, stress testing, data validation, disciplined analytical execution.
Consulting Analyst – Strategic & Valuation Projects | Jun 2025 – Oct 2025
Selected from 200+ applicants (top ~5%) to deliver a 45-page financial and commercial review of a global SVOD business.
Built multi-scenario revenue, EBITDA, and valuation models using Excel, Python, and Power BI, supported by market sizing and peer benchmarking.
Performed data validation, reconciliations, and performance analysis to support accurate reporting and forecasts.
Presented commercial insights, risks, and conclusions to senior stakeholders, closely mirroring investment due diligence and decision-support processes.
Core skills gained: valuation, financial modelling, investment analysis, stakeholder communication, commercial judgement.
Reviewed multi-million-pound budgets, cost structures, and long-term financial plans to support governance, oversight, and control effectiveness.
Analysed operational performance, sustainability indicators, and risk metrics to strengthen internal controls and accountability.
Maintained structured records of financial discussions and decisions to support auditability and transparency.
Supported production of clear financial summaries and reports for committee review and evidence-based decision-making.
Core skills gained: governance, controls, assurance mindset, reporting discipline, stakeholder engagement.
Built foundational knowledge in financial markets, econometrics, macroeconomics, and applied panel data analysis.
Completed a high-scoring dissertation (92%), demonstrating early research and analytical capability.
MSc Economics & International Financial Economics | Sept 2024 – Mar 2026
Developed strong foundations in financial analysis, forecasting, econometrics, and macro-financial modelling, including VAR/GARCH and applied quantitative methods.
Worked extensively with large financial and macroeconomic datasets, using Python (pandas, NumPy), SQL, Excel, and Bloomberg for data cleaning, validation, and analysis.
Built scenario, sensitivity, and downside-risk frameworks to assess performance and risk under changing market conditions.
Dissertation focused on BRICS and reserve currency realignment, strengthening understanding of global capital flows, monetary systems, and macro-financial risk.
Core skills gained: quantitative analysis, risk modelling, forecasting, data integrity, financial economics.
