Jorge helps clients undertake high-impact risk data transformations, applying digital innovation and analytics to realize new business value.


Jorge serves financial institutions in a variety of risk data topics including data architecture, data governance, risk technology, and addressing data regulatory topics (e.g., Basel Committee Standard 239 on risk data aggregation, and the EU’s General Data Protection Regulation. He supports clients in extracting value from data, capturing operational efficiencies, and identifying and mitigating data risks (accuracy, completeness, protection).

Jorge’s recent client work includes:
  • Supporting the US operation of a global bank in integrating risk and finance reporting
  • Assessing the data capabilities of over 10 US banks to help them pass stress testing (e.g., data quality controls, data aggregation capabilities, automation of end user computing applications)
  • Supporting a Latin American bank developing its technology architecture for credit risk and treasury functions
  • Designing the data control framework for a top 4 North American bank, including depth of lineage, types of quality controls, tooling to automate the effort
  • Defining the strategy to build a data lake for a super-regional bank in the US, including defining the priority data domains, defining the platform and modeling strategy
  • Establishing the chief data officer team in a corporate/commercial bank through accelerated deployments of data governance capabilities such as data prioritization, metadata, data lineage
  • Developing the enterprise data strategy for a North American bank ($200 million investment) resulting in a 5 year transformation roadmap covering 40-plus technology teams
  • Defining the data strategy for a North American payments company by identifying key analytic use cases and building a data management program around them.

    Jorge holds an MBA from UC Berkeley, and a licentiate degree in electrical engineering and computer science from Instituto Superior Técnico in Lisbon.