I built the analytical engine for a high-pressure trading operation. Then I went independent.
Before NúmerosDon, I worked as a Senior Data Analyst at SIS in a rapidly scaling trading function. The department was growing fast and operating under extreme time pressure — every analytical decision had immediate financial consequences.
I independently led the expansion of the team’s analytical capability. That meant building the infrastructure from scratch: a centralised database replacing fragmented spreadsheets, statistical models tuned for in-play trading during high-volatility live events, and executive dashboards that turned complex datasets into decisions across multiple organisational levels.
Eventually the role outgrew one person. I trained up and mentored junior analysts to take over the recurring work — which freed me to focus on the harder modelling problems and the cross-team conversations that turned analytics into decisions the business could actually act on.
It was the environment that shaped how I build systems now — under pressure, with real stakes, where being wrong costs money immediately.
Centralised Data
A single database system replacing fragmented spreadsheets and siloed workflows — one source of truth for the entire department.
Quantitative Research
Rigorous statistical modelling and research frameworks designed to forensically pinpoint profitability errors and pricing anomalies across operations.
Executive Dashboards
Comprehensive analytics converting complex datasets into actionable intelligence across multiple organisational levels.
That was the foundation. Here’s what I build now.
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I build quantitative decision systems for organisations where getting it wrong isn’t an option.
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