Leonardo Brizi is a Senior Manager in Financial Crime Analytics with eight years of hands-on experience delivering data-driven solutions for large forensic investigations, AML remediation and compliance at top-tier Swiss banks. He combines a PhD in Physics from EPFL with practical expertise in designing and implementing risk scoring algorithms, data quality assurance, AML rule testing environments and automation tools using SQL, Python and C#. At Deloitte he led high-profile projects including AML risk scoring during a major bank acquisition and transaction monitoring model validation for global clients, often presenting findings to regulators. Known for translating complex mathematical thinking into pragmatic, auditable analytics workflows, he bridges technical, compliance and legal stakeholders to operationalize forensic insights. Based in Ticino, Switzerland, he brings an uncommon mix of theoretical rigor and hands-on engineering to financial crime challenges.
8 years of coding experience
6 years of employment as a software developer
Master and Bachelor, Physics, Master and Bachelor, Physics at Università degli Studi di Perugia
PhD, Physics, PhD, Physics at Ecole polytechnique fédérale de Lausanne
Minimal, robust, accurate and real-time LiDAR odometry
Contributions:2 releases, 1 PR, 7 pushes in 1 year 9 months
lidarodometryicppoint-cloud
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