01 · Research
Research & Data
Clean, tested market data and the insights built on it, so every idea starts from evidence.
INSTITUTIONAL-GRADE AI FOR QUANTITATIVE INVESTING
From research to execution. With confidence.
We are the AI and engineering partner that takes your investment ideas from research to the trading floor faster: stress-tested, risk-managed and ready to trade, without growing your back office.
Book an Introductory CallGood ideas lose time between research and the trading floor.
Every idea passes through the same handoffs before it can trade. Each one slows things down and adds risk.
- 01Data
- 02Testing
- 03Risk
- 04Execution
- 05Reporting
What Changes for You
Four things change on your trading floor.
01
Faster from research to the trading floor.
Ideas lose time between the research desk and the front office: data, testing, risk, execution, reporting. Each handoff slows things down and adds risk. We shorten the whole path.
02
Confidence before capital.
Stress-test every idea, see how it behaves across different markets, and diversify positions across strategies, so risk management is built in rather than added later.
03
Grow the front office without growing the back office.
Run more strategies and more trades with the same operations team. Your front-office capacity goes up; your back-office headcount does not.
04
Senior expertise without senior hires.
Bring 25 years of trading-desk and AI experience into your team, without the cost and delay of expensive senior recruitment.
And underneath all four: insights at the top of your trading floor. AI built on investor behavior, delivered where decisions are made.
How We Do It
One path, from research to execution.
02 · Build
Strategy Build
Your investment logic turned into a sized, risk-managed strategy on a framework that is already built and tested.
03 · Review
Strategy Review
Stress-testing across markets and regimes, checked for data leakage, overfitting and fragility before capital is committed.
04 · Execution
Production
The same code path that was tested runs in the market, with execution, position management and audit built in. You keep the code.
The Edge
Markets are people.
Prices move because investors act: they buy, sell, hedge, crowd in and rush out. Our own AI models are built on that behavior, learned from market data, not from text.
That is why we do not use language models. They learn from what has already been written, and markets do not repeat themselves. Our models read how investors are behaving now, and deliver it where your decisions are made.
Why Pouthon
Expertise earned on the trading desk.
Most systematic strategy firms are built by data scientists who have never sat on a trading floor, or technologists who have never managed risk with real money on the line.
Arthur Rabatin has done both, at the senior leadership level, inside the institutions that define global finance.
As Head of Markets Risk Technology at BNY Mellon. As Head of Counterparty Credit and Funding Risk Technology at Deutsche Bank. As Head of Credit Correlation and Exotics Technology at Barclays Capital. Building the systems that trading desks relied on, and knowing what breaks under real market conditions.
He published his first paper on AI in trading in 2000. When you engage Pouthon you are not hiring a consultancy that will figure out your world. You are hiring someone who has already lived in it.
BNY Mellon
2016 – 2023
Deutsche Bank
2010 – 2016
Barclays Capital
2005 – 2010
EdF Trading
2002 – 2005
Specialist Areas
- AI for financial time series
- Market, credit and counterparty risk
- Execution and production infrastructure
- Market data engineering