Financial analyst with 4 years in corporate banking and FP&A. Builds models that credit committees and leadership trust, explains the numbers behind every recommendation, and automates the reporting that used to eat whole weeks. Holds First Class Honours from LSE.
- Built credit models for 45 corporate clients with £240M total exposure, reducing approval time from 3 weeks to 10 days.
- Rebuilt the monthly budget variance model, catching £4.8M of cost overruns early.
- Presented quarterly portfolio reviews to the credit committee and executive board.
- Modelled the portfolio under 3 interest-rate stress scenarios ahead of the annual regulatory review.
- Automated covenant monitoring in Python, flagging breaches 2 weeks sooner.
- Built a sector risk heatmap used by relationship managers in 40 client reviews.
- Reviewed 60 annual client financial statements and summarised risks for relationship managers.
- Automated the rolling forecast in Excel and Power BI, saving 3 days each month-end.
- Modelled pricing scenarios that guided a 5% price increase with no volume loss.
- Prepared the annual budget for 4 business units totalling £180M in revenue.
- Partnered with operations to cut logistics costs 6% through route analysis.
- Built a working-capital dashboard that freed £2.1M of cash by shortening payment terms.
- Trained 6 business partners to use the forecasting model on their own.
- Tested revenue and payroll controls for 3 mid-size clients.
- Reconciled 500 transactions and documented findings for the audit manager.
- Drafted sections of the management letter on inventory controls.
- Analysed fixed-asset registers and flagged 12 depreciation errors.
- Prepared audit working papers reviewed and approved by the senior manager.
Finance: Financial modelling, Credit analysis, Valuation, FP&A, Stress testing
Tools: Excel, Power BI, SQL, Python, Bloomberg