Building world-class systems for world-class institutions, then and now — independent risk & margin technology consultant for Morgan Stanley Prime Brokerage · fixed income derivatives at RBS · global equity derivatives technology at Deutsche Bank · creator of the Equity & Multi-Asset Risk Monitors at Axioma/SimCorp (Deutsche Börse Group), used daily by the world's most sophisticated investors.
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Illustrative examples, not real client engagements — client work stays confidential. These show what's achievable, in record time, working this way.
Not a case study — this one's the pitch itself: type what you need and watch a real, working interface build itself, right there on the page.
The same collaboration behind every project here, made visible instead of just claimed.
View demo →A multi-strategy fund needing real factor decomposition and stress testing beyond basic exposure reporting — the kind of analytics infrastructure most desks license from platforms like Axioma.
A self-contained analytics engine: factor risk attribution, custom stress scenarios, and the pre-trade drill-down the desk actually needed.
View demo →A small logistics team running scheduling and tracking through a fragile spreadsheet, passed hand to hand between five people, silently dropping data every week.
Replaced it with a real system: validation, real-time visibility, and consistency the spreadsheet was structurally incapable of.
View demo →For a boutique multi-strategy fund reconciling risk across four disparate, inconsistently-formatted prime broker feeds by hand, every week.
One coherent, always-current risk view — the kind of reconciliation logic most teams get wrong for months.
View demo →An operator sitting on years of raw sales history in spreadsheets — real signal in there, no way to get at it.
A forecasting model that actually holds up out of sample, not a curve fit to the past.
View demo →A small university lab tracking patient outcomes across paper forms, spreadsheets, and a legacy database that barely anyone still knew how to query.
One pipeline, with the missing-data and cohort-tracking rigor the original process had no way to enforce.
View demo →A research coordinator with real trial data and no way to ask it a question without a statistician's help every time.
Ask a research question in plain English, watch a working analysis view build itself on the spot.
View demo →An agricultural cooperative sitting on decades of scattered weather-station history, with no way to see which of their growing regions actually carried the most risk.
A model translating raw climate history into a risk view the co-op could act on before planting, not after a bad season.
View demo →