Summary
Enrique Naudon is a Team Lead at Bloomberg’s BQuant platform, building a new group of Quantitative Developers and Software Engineers to deliver cloud-native tools for systematic investing. With 14 years of experience, he blends hands-on engineering, product prototyping, and hiring to ship workflows for signal generation, portfolio construction, backtesting, and regime analysis using open-source stacks like Spark and Python. Previously he was the technical lead for BLAN, a functional DSL for exotic derivatives, where he designed and implemented an inferred type system and nominal algebraic datatypes. His background spans compiler design, functional programming, and production security systems, informed by MS work in computer and network security and early research at CERT. Active in the OCaml community and conference circuit, he brings uncommon depth in programming languages to quant engineering problems. Based in the New York metro area, he’s growing a team and keen to connect with engineers interested in systematic finance and language-driven tooling.
14 years of coding experience
8 years of employment as a software developer
High School Diploma, High School Diploma at The Berkeley Carroll School
Master of Science (MS), Computer and Network Security, Master of Science (MS), Computer and Network Security at Carnegie Mellon University
Bachelor of Arts (B.A.), Economics; Computer Science, Bachelor of Arts (B.A.), Economics; Computer Science at Bowdoin College
English, Spanish