Systems built
0
across domains
AI & quant systems for finance
GennaroPancia.
I turn financial data and ideas into working systems — models, valuations and the tools behind real decisions. Designed by me, built end to end with AI.
Available for select AI & finance build projects — 2026
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Predictive modeling/
Monte Carlo simulation/
Machine learning/
Data engineering/
Quant dashboards/
AI automation/
Backtesting & validation/
01What I do
Finance is the goal. AI is how I build it. I turn financial data into models, valuations and market analytics — calibrated with probabilities, not opinions. A quant engine, proven on real data and now pointed at the thing I care about most: finance.
02Selected work
Most of these are quant systems I built to push the engine. The same approach — model, simulate, automate — is what I bring to a workflow, a dataset or a market.
01 World Cup 2026 Model Tournament simulation · Monte Carlo + ML live ↗
02
Autonomous content engine
Multi-agent AI pipeline · research → publish
coming soon
03
Season forecast model
Machine learning · championship outcomes
coming soon
04
NBA player performance
Player points model · live data pipeline
coming soon
05
QG — systems hub
Orchestration platform · runs every project
internal tool
Operator
Gennaro
Pancia.
Pancia.
> quant & ai for finance
> models · valuations · markets
> building since 2023
> models · valuations · markets
> building since 2023
Live & public
0
more in progress
Data points
0
engineered & trained
Built with
AI
end to end
03What I can build for you
Finance is the focus; AI is how I build it, end to end — from valuations and market analytics to the data systems and automations behind them.
/01
Financial modeling & valuation
DCF, multiples and scenario models that put a defensible number on what something is worth.
/02
Market & portfolio analytics
Dashboards and tools that turn market and portfolio data into clear, fast decisions.
/03
Risk & scenario simulation
Monte Carlo engines that price uncertainty and stress-test a position before you commit.
/04
Financial data systems
Pipelines that pull, clean and structure financial data into something you can actually use.
/05
AI automation & agents
LLM-powered systems that take the manual, repetitive work off your plate and run on their own.
/06
Predictive models
Statistical and ML models that forecast and support real decisions — calibrated, not guessed.