About
Business judgment backed by technical execution.
Material Signal was founded to solve a specific kind of problem: the analytical questions that sit between standard reporting and a full internal analytics function.
Founder
Scott Carter
Material Signal is founded by Scott Carter, an analytics leader with more than 10 years of experience across financial services, finance, operations, process improvement, and technical analytics.
Prior professional work has included building machine-learning models for financial decision support, automating complex financial workflows, developing risk and performance analytics, and leading analytics strategy and technical teams.
Scott holds an MBA from Vanderbilt University’s Owen Graduate School of Management with concentrations in Finance and Operations & Analytics, as well as a BS in Construction Management from the University of Northern Iowa.
Background
- Analytics strategy
- AI/ML
- Python
- SQL
- Power BI
- Snowflake
- Financial modeling
- Valuation analytics
- Intelligent automation
- Operational process improvement
- KPI development
- Analytics team leadership
Why Material Signal
The firm is built around the intersection of three capabilities.
- Business understanding
- The ability to understand the operating or financial question behind the data.
- Analytical depth
- The ability to determine what analysis is actually required.
- Technical execution
- The ability to build the model, automation, workflow, or application needed to solve the problem.
That combination allows Material Signal to move from a business question to a working analytical solution without handing the problem across multiple teams.
Start here
Want to talk about a specific problem?
The first conversation is about the question, the data that exists, and whether the work is worth doing at all.