Michael Little

Background

About Michael Little

I solve complex business problems in financial services by designing and building modern data and AI systems.My background combines deep financial domain expertise (CFA Charterholder, ex-Moody's Analytics) with hands-on technical capability. This lets me bridge the gap between "what the business needs" and "how to actually build it"- understanding capital markets as well as modern technology architecture.At FINRA, I'm building AI agent systems for regulatory workflows and architecting cloud-native data platforms. Before that, I spent years at Moody's Analytics working on credit risk and portfolio analytics. The through-line is solving hard problems where domain knowledge matters as much as technical chops.I'm not writing code all day - my sweet spot is solution design, architecture, and translating between business stakeholders and technical teams. I can whiteboard with executives in the morning and review system architecture with engineers in the afternoon.Technical foundation includes AI/ML systems (particularly RAG-based agents and LLMs), modern data platforms, cloud architecture (AWS primarily), and the usual data stack. Comfortable with Python when I need to be hands-on, but I'm building teams and solutions more than grinding out code.10+ years across financial services technology - credit analytics, regulatory tech, data architecture. I've shipped production systems at scale, led cross-functional initiatives, and know how to navigate the intersection of innovation and risk management that defines financial services.