Ivan Leong

I came into finance the long way around. I started out studying biotechnology at Singapore Polytechnic, but I kept finding myself more interested in how companies were valued and funded than in the science itself. So I took night classes in economics and finance on my own to test whether the interest was real. It was, and I transferred to NUS to study Finance properly.

Since then I've tried to get as much hands-on experience as I can. For an equity research project, I looked at a company with persistent negative equity, decided a Dividend Discount Model made more sense than the usual approach, and ran a 10,000-trial Monte Carlo simulation to pressure-test it. It led me to a Sell call that went against the consensus, and defending that reasoning taught me a lot.

At REC Solar, a renewable energy manufacturer, I built the business case for a capital investment that identified around $37K in sourcing savings, which gave me a real feel for the CapEx and asset economics behind infrastructure. Along the way I've also spent time getting genuinely good at Excel, automating repetitive modeling work with Power Query and DAX so the analysis runs cleaner.

I'm applying to DigitalBridge because it sits right where my interest has settled: disciplined investing in real, fast-growing assets, with an operator's mindset rather than a purely financial one. I still have a lot to learn, and this is exactly the environment I want to learn it in.

Corporate Finance Intern at REC SOLAR PTE LTD (2026-05 – Present)

• Developed an interactive B/S and P&L dashboard via CUBEVALUE-based slicers across cost/profit centers and periods, replacing manual SAP exports and eliminating ~10 mins of recalculation per query for C-suite CapEx decisions
• Modelled lease liability amortization and roll-forward schedules under IFRS-16, applying debt repayment and interest accrual mechanics analogous to loan structuring and credit analysis
• Analyzed run-rate EBITDA, Net Cashflow, DCF, NPV, Payback, and sensitivity models for C-suite CapEx decisions, evaluating technology investments against a sub-2-year payback threshold required for profitability given rapid solar technology turnover
• Built business case models comparing forecasted projects against baseline manufacturing costs, drawing on sourcing team inputs across US, APAC and EMEA, and identifying ~$37,000 in wafer manufacturing savings

FP&A Intern at JOHNSON & JOHNSON (2025-01 – 2025-07)

• Generated a custom Excel-native formula, Fuzzy XLOOKUP, leveraging the Jaro-Winkler similarity algorithm to match and return approximate text results – enhancing data flexibility and improving lookup accuracy across medium-sized datasets
• Designed a VBA-powered Open Order Dashboard for the Commercial-Finance teams to track orders, categorize delivery timelines, and extract insights through dynamic filters with intuitive, criteria-based selection
• Optimized financial workflows by implementing advanced Excel functions, including PivotTables linked to VLOOKUP, Power Query for seamless data consolidation, and nested formulas to streamline data analysis
• Collaborated with Commercial and FP&A teams to update monthly sales forecasts and budgets, ensuring alignment with actuals and budget limits

Bachelor of Business Administration, Majoring in Finance – NATIONAL UNIVERSITY OF SINGAPORE (NUS) (2023-07)