01
You have a strategy idea.
Turn it into a systematic, risk-managed, executable strategy. We document your logic, build it on Eigen, our tested framework, and validate it against real market conditions. You own the code.
Learn moreSYSTEMATIC STRATEGY CONSULTANCY
We engineer quantitative investment strategies that deliver better outcomes.
Turning investment expertise into systematic edge.
Book an Introductory CallEvery investment professional we work with has something valuable: a strategy that works, a conviction built over years, or a quant team with ideas who need help to create a robust, production-ready, AI pipeline.
What they share is a gap. Between where they are and where their edge could take them.
That gap is what we close. Faster than building from scratch, with a tested framework as the foundation, and full code ownership at the end.
We build your capability.
Three Client Paths
Where the gap shows up, and how we close it.
02
You have a quant team that needs to move faster.
We work alongside your existing team as specialist quant engineers. We integrate into your infrastructure, deliver defined components, and transfer the knowledge so your team can own and operate everything independently.
Learn more03
You have complex data or AI challenges.
We design and build specialist AI solutions for financial time series, not generic machine learning repurposed for markets. Purpose-built, explainable, and integrated into a realistic portfolio model.
Learn morePouthon Eigen
Your strategy runs on a framework that is already tested.
Pouthon Eigen is our technology framework, built and tested in live market conditions. It integrates directional signals, portfolio allocation, risk management, and execution in one consistent system.
When you work with us, your strategy does not start from a blank page. It starts from a working foundation, developed by someone who spent 30 years building exactly this kind of infrastructure inside the world's largest banks, configured around your ideas and your constraints. You keep the code.
Directional Signal Layer
Per-security directional signals across multiple time horizons, fed by macroeconomics, credit and treasury yields, company fundamentals, news alerts, options volatility surfaces, and peer group correlations.
Advanced AI Capabilities
We provide purpose-built AI and Machine Learning capabilities that take into account the stochastic nature of financial timeseries. Our tools are designed to provide explainable, transparent AI algorithms can be be used in real-live investment.
Risk Management
Position sizing, entry and exit averaging, allocation strategies, and time-horizon overlays. An implementable portfolio, not a list of predictions. Risk is not an afterthought: It is integral to every strategy we deliver.
Model Execution
Model Execution follows the same robust code path as model development and training. This ensures that testing and quality control covers both the model development and application of models in the market
Why Pouthon
A head start, not a blank page
Eigen is already built and tested. Client projects begin from a working framework, reducing time, cost, and delivery risk significantly compared to building from scratch.
We speak your language
We hold a credible conversation with your CIO, your head of risk, and your lead engineer in the same meeting. Fewer translation errors between investment and technology teams means faster, better outcomes.
AI built for markets
We have applied AI to trading since 2000. Our models are designed specifically for financial time series, not borrowed from other domains. Security-level models, regime-aware overlays, walk-forward validation, no data leakage.
You own the result
Every engagement ends with a full license to the Eigen code used in your project. No vendor lock-in. Your team can extend it independently, or with anyone else you choose.
The reason firms hire Pouthon.
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 for 30 years, 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. Understanding what breaks under real market conditions. Knowing what governance, audit, and regulatory scrutiny actually require.
He published his first paper on AI in trading in 2000. This is not a new interest. It is a 25-year body of work applied to a very specific problem.
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.