Steve Overton

Background

About Steve Overton

I help financial institutions, FIUs, and law enforcement fuse data with advanced network analytics to uncover hidden relationships, prioritize risk, and move cases forward. I treat financial intelligence as the glue that connects fragmented sources so the first responders of data can see the full story sooner. At DataWalk, I design and productionize graph-powered analytics — entity resolution, link + geospatial analysis, typology detection, and network-risk scoring — keeping outcomes explainable and traceable back to source. I align technology architecture and analytics with business value. I provide subject-matter expertise across financial crime, criminal justice, fraud prevention, and regulatory compliance, with a hands-on background in data management/ETL, cloud data platforms and warehousing, system architecture, scenario/typology design with automated alerting, case management, and visual analysis/reporting. At DataWalk, that translates into building entity-resolution and link-analysis pipelines, geospatial + network-risk models, and interoperability patterns that travel from discovery to production. Toolbox: Network science, Entity resolution, Investigative analytics, AWS & Azure, SAS & Python, Node link analysis / graph AI workflows Domains: AML, fraud, KYC/CDD, beneficial ownership (CTA), law enforcement & national security Credentials: CAMS, AWS Cloud Practitioner, Azure Fundamentals, B.S. Industrial & Systems Engineering (NC State) Recent themes: financial intelligence, data fusion across silos, explainable artificial intelligence & analytical-driven workflows, public-private sector collaboration, risk-prioritized networks Community speaking & publications: ACAMS, IAFCI, RevTech Labs If you’re tackling transnational crime, optimizing AML, or connecting data across agencies, let’s compare notes and move cases forward.