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Research Systems/Capital Allocation/NYC

Eli Samson

I build systematic research tools that convert discretionary insight into analytical infrastructure.

Current work: a factor engine scoring 5,500+ equities daily, and a portfolio research system wired into a live brokerage book.

A standing side study: how trends form, exhaust, and repeat across timeframes — written up like research notes, not trade signals.

TECHNICALSMACROFUNDAMENTALSSTRUCTURECAPITAL FLOWSVALUATIONSENTIMENTPOSITIONING

multidisciplinary synthesis · signals firing across domains

01

Current Research

Capital Efficiency in Technology

Developing factor models that evaluate capital efficiency, unit economics, and operating leverage across software and technology companies; identifying which businesses generate durable free cash flow relative to their invested capital base.

Competitive Dynamics & Market Structure

Studying how industry structure, switching costs, and network effects shape long-term competitive positioning; analyzing where value accrues within supply chains and how market concentration evolves over time.

Systematic Research Infrastructure

Building the pipelines that carry an idea from screen to sized position — data ingestion, factor scoring, backtesting, and review — so each research cycle leaves reusable infrastructure behind rather than a one-off spreadsheet.

02

Methodology

01

Economic Framework

My work begins with understanding how a company or industry fits within a broader economic system. I analyze market structure, competitive dynamics, capital flows, and the incentives shaping participant behavior. This framework informs how I approach modeling and what signals may matter most.

02

Factor Development

From this foundation, I translate economic intuition into measurable factors. I develop models that normalize company performance across multiple dimensions, capturing operational competitiveness, free cash flow generation, and resilience across cycles. The goal is to transform qualitative insight into structured, comparable signals.

03

Workflow Crystallization

Once a research approach proves useful, I systematize it. I prototype models and workflows in Python, then convert the underlying logic into reusable tools that integrate into a broader research environment. By embedding models directly into lightweight interfaces and workflows, I turn analytical ideas into repeatable processes that produce actionable insight.