Quant Finance Technical Partner

WHO WE ARE Smooth Path Investing (SPI), a subsidiary of ECM is building RAs (Regime Adaptive System), a proprietary AI system for active portfolio management. {Eyeland Capital Management (ECM)} is the associated hedge fund entity. Both ventures are currently operating in stealth mode. RAs is now at the prototype/beta stage, with a working interface and a highly modular architecture. The objective is to complete the development required to bring the system to launch within a 3-month period, because most of the system has already been built.h. WHAT WE ARE BUILDING RAs is designed around two fundamental problems in finance: 1. Active portfolio management after stock selection. RAs is not intended to replace the stock-selection process. Instead, it focuses on what happens after a stock has been selected or is already being considered for a portfolio, distilling that into what trading actions should be taken 2. Open-ended financial reasoning within a deterministic architecture. RAs is designed to transform unlimited open-ended finance and economics questions into structured stock trading outputs. Conceptually, the system is intended to be something like a “Cursor for stock trading”: where the underlying complexity is structured so AI can work within it without losing the logic. RAs applies an analogous principle to finance: an open-ended financial/economic question is converted into a structured, deterministic trading/portfolio representation, including the relevant ticker(s), comparisons, and implications. The central architectural principle is about decoupling market predictions from trading decisions. THE CORE MOAT The central architectural distinction is the decoupling of market prediction from trading decisions. RAs is designed to use prediction as an input to a broader decision architecture rather than treating prediction itself as the trading decision. This separation is fundamental to how we are building the system and is intended to allow the analytical and predictive components to evolve independently from the portfolio-management and trading-decision layer. WHAT WE ARE LOOKING FOR We are looking for 2–3 strong technical people to partner with us and complete the RAs development required for launch. We are particularly interested in people with backgrounds in:

• Quantitative finance / financial engineering
• Machine learning / artificial intelligence
• Mathematical modeling / applied mathematics
• Software engineering / systems architecture
• Computational finance

The most important requirement is not a particular degree or technology. It is the ability to understand and take ownership of a large, modular codebase and contribute to the underlying architecture rather than simply completing isolated coding tasks. HOW WE WORK This is a partnership opportunity, not a salaried position. There is no salary at this stage. In return, the right people would receive meaningful ownership associated with their contribution and the opportunity to build a system from an existing working foundation. We expect partners to:

• Understand the code and architecture they work on deeply.
• Own what they build.
• Use AI coding tools where appropriate, but not rely on AI to understand the work for them.
• Extend the existing architecture rather than unnecessarily rebuilding it.
• Work independently and move quickly.

One important principle: when a component is completed, the person who built it should first be able to explain the architecture, logic, implementation, and implications directly in a meeting. We are not looking for an AI-generated documentation file to substitute for understanding the work. THE OBJECTIVE The objective is straightforward: Complete the RAs development required for launch within approximately three months. We already have the underlying research (unpublished academic papers), architecture (40, 000 lines of code), prototype (functioning system that captures the two main points discussed at the beginning of this post), and 20 years of investment-management experience. The opportunity is to work with us to turn the existing system into a launch-ready product. INTERESTED? If you are a strong technical builder who is interested in taking ownership of a difficult finance/AI system rather than simply taking another internship or salaried development role, send a short note describing your background and what you believe you could contribute. Email: [[email protected]](mailto:[email protected]) Subject line: RAs Technical Partnership | Your Name Smooth Path Investing / RAs & Eyeland Capital Management are being developed at the intersection of quantitative finance, AI, mathematical modeling, and systematic portfolio management.