17 years at Morgan Stanley, Bank of America Merrill Lynch and JPMorgan. Today, the quarterly forecast and CFO-approved budget for Morgan Stanley's firm P&L, $70.6B in FY2025 net revenues, run by a forecasting team hired from scratch on a cycle cut from 6 weeks to 4.5. CCAR / DFAST stress scenario modeling, the 10-year long-range forecast, and the Board and CFO materials that carry them.
Most firm forecasts are finished in time to explain the quarter, not to change it. The ones that matter arrive fast enough to act on, granular enough to trust, stress-tested before the cycle starts, and long enough to shape strategy. That is the forecast built at Morgan Stanley, and the one worth building anywhere a P&L has to be run rather than reported.
The quarterly forecast, the CCAR / DFAST stress scenario and the 10-year long-range forecast all start from the same below-the-business view of the firm. Pick a horizon to see what each one is for.
Run every quarter for the consolidated firm: Institutional Securities, Wealth Management and Investment Management, headcount and compensation included. The forecast is built below the business level, cash equities, derivatives and prime brokerage rather than total equities, so the firm view holds when one business surprises. The CFO-approved budget and the actual versus forecast variance analysis come out of the same process.
A forecast that lands after the decisions are made is a history. Removing immaterial inputs, automating tasks with AI and moving senior management reports to direct system pulls took a week and a half out of the cycle without taking the review out of it.
Three of the largest banks in the world, in order: JPMorgan, where the work was calculating performance and investment management fees for hundreds of institutional accounts each month and finding the billing errors where fees did not match the client agreement. Then eleven years at Bank of America Merrill Lynch: FP&A for Global Banking and Markets, strategy and business analytics for the investment bank, and strategic risk for the firm.
At Morgan Stanley since July 2022, the job is the firm forecast itself. When the role began, the forecasting team was essentially one person. Hiring all four of my direct reports, promoting two of them, and building the process from the ground up came first. Today that team runs the quarterly forecast and CFO-approved budget across Institutional Securities, Wealth Management and Investment Management, produces the 10-year long-range forecast, and builds the pro forma model senior leaders use to choose the firm's CCAR / DFAST stress scenario.
The next role is VP, Executive Director or Director in FP&A, strategic finance, strategy or risk, somewhere a forecast built fast enough and deep enough to act on changes what leadership decides. MBA in Finance and Business Analytics from Syracuse, Whitman. BSBA in Finance from Rider.
When the role began, the forecasting team was essentially one person. Hiring all 4 direct reports came first, and 2 of the 4 have since been promoted. With the team in place, the forecast cycle went from 6 weeks to 4.5 by removing immaterial inputs and automating tasks with AI. Senior management reports became direct system pulls, and the pre-tax profit workstream of the Vena to IBM Planning Analytics (TM1) migration, mappings and data pipes included, ran out of the same group.
Co-led, in a two-person team, the share analysis leadership adopted to expand Middle Market Investment Banking coverage. Over several years the group grew from 8 to about 30 bankers, and the added coverage helped lift market share from about 4.5% to about 8% and league table rank from #7 to #3 on Dealogic. The work earned the Platinum award, the top tier, from the Head of Middle Market IB. Scorecards built for about 500 MD and Director bankers, combining Dealogic deal and pipeline data with client coverage data, are still used to set banker pay and bonuses.
Led 3 direct-report analysts covering firm-level strategic risk from large banks, smaller banks and fintechs, and tracked how unemployment, GDP and inflation affected specific businesses to flag threats to the Strategic Plan. The clearest call of the period: COVID-era deposit outflows to fintechs offering higher yields and personalized accounts. Deposits landed at BofA first, then moved. Macro and competitive risk assessments became long-term growth initiatives with executive leadership, aligning line of business plans to firmwide goals.
Built running the firm forecast at Morgan Stanley and the strategy and risk work at Bank of America. Applied in order. Each one is a design choice, not a reporting choice.
A six-week cycle delivers a number leadership reads after the decisions are made. The cycle at Morgan Stanley went from 6 weeks to 4.5 by removing immaterial inputs, automating tasks with AI, and moving senior management reports to direct system pulls. The point was never speed for its own sake. It was giving business and capital heads a forecast with time left to use it.
Total equities is a reporting line, not a forecasting unit. Cash equities, derivatives and prime brokerage move for different reasons, so the forecast is built at that level and rolled up. The same logic runs across Institutional Securities, Wealth Management and Investment Management, with headcount and compensation planned inside the forecast rather than beside it.
The pro forma model senior leaders use to choose the firm's CCAR / DFAST stress scenario is built in this role, and pre-cycle estimates typically land within 3% of final results. That accuracy is what makes scenario selection a decision rather than a guess, and what lets forecast and stress results go to steering committees with business and capital heads as one story.
Moving assets across businesses or evaluating a potential acquisition cannot be judged on a quarterly forecast. The 10-year long-range forecast exists to test those strategies on the same foundation as the quarter, so the strategic answer and the operating forecast never disagree about the starting point. At Bank of America the same instinct produced the share analysis that grew Middle Market IB from 8 to about 30 bankers.