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Brazil’s CVM Signals Data-Driven Turn Under New President Otto Lobo

Reshuffle puts artificial intelligence, risk supervision and institutional modernization at the center of the securities regulator’s new agenda.

CVM

By Brazil Stock Guide — Brazil’s securities regulator is using one of the first moves under new president Otto Lobo to send a broader message: the CVM wants to become more data-driven, more technology-heavy and better equipped to police increasingly complex capital markets.

The Comissão de Valores Mobiliários announced a reshuffle of senior roles on Thursday, appointing mostly career officials to key posts across intelligence, innovation, technology, risk management and institutional modernization.

The most visible signal is the appointment of Frederico Shu to lead the Superintendency for Intelligence Development. Shu, a CVM inspector with a background in engineering, finance and artificial intelligence, previously worked on company supervision, behavioral research and data science inside the regulator. His résumé includes a master’s degree in electrical engineering focused on AI and decision-support systems — a profile that points to a stronger use of algorithms, analytics and supervisory technology.

Jorge Alexandre Casara will head the Superintendency for Planning and Innovation. An engineer trained at the University of São Paulo, with MBAs in business and data science, Casara has worked in multinational companies and, at CVM, led strategic-risk intelligence initiatives and financial-innovation projects.

José Alexandre Cavalcanti Vasco, a long-serving CVM official, was named to lead Institutional Development and Modernization. Vasco spent more than 18 years in investor protection and education, where he worked on financial education, citizen services, innovation and sustainable finance. He also represented CVM in international forums linked to IOSCO and the OECD, giving the new role a bridge between domestic modernization and global regulatory standards.

The technology pillar will be led by Gustavo Maia, who takes over the Information Technology Superintendency. A computer scientist trained at the University of São Paulo, with further studies in computer engineering and strategy, Maia has spent more than a decade in CVM’s technology area and has been head of IT governance for seven years.

The reshuffle also brings Guilherme Pozzobon to the administrative and financial area. Pozzobon, a career CVM inspector with degrees in administration and law, spent more than a decade in procurement, contracts and administrative planning at the regulator.

Andréa Baptista will oversee people management after nearly four decades in Brazil’s federal public administration, most of them in human resources and personnel administration. At CVM, she previously served as human resources manager and worked in recruitment, personnel records and training-related functions.

Florisvaldo Gonçalves, a former superintendent-general and former head of intelligence development, was appointed to the advisory office for economic analysis, risk management and integrity. His return to a strategic advisory role is notable because of his previous work on artificial intelligence and data analysis in market supervision.

The regulator also chose Daniela Amorim to lead communications. Her background in macroeconomics and market coverage may help CVM manage its relationship with investors, listed companies and the financial press.

One of the most important jobs remains open. Maria Lúcia Macieira, CVM’s general process manager, will serve as acting superintendent-general until a permanent name is chosen. The superintendent-general coordinates the regulator’s core technical areas, and the appointment depends on Brazil’s Casa Civil.

For the market, the reshuffle is less about a routine change of chairs than about the architecture of the new CVM. By separating intelligence, innovation, technology and institutional modernization into prominent roles, Otto Lobo’s administration is signaling that supervision of Brazil’s capital markets will increasingly depend on data, AI tools and risk-based oversight – rather than only traditional rulemaking and enforcement.

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