Christopher Brandt is a quantitative developer and technical consultant with 11 years of experience turning academic and industry white papers into high-performance, production-ready software. Based in the Greater Chicago Area, he specializes in modern C++—including template metaprogramming and idiomatic API design—and has a track record of refactoring performance-critical libraries to be smaller, safer, and measurably faster. At Numerical Algorithms Group he redesigned C++ interfaces, parallelized and optimized linear algebra routines with 2.5–2.8x speedups versus BLAS, and developed bespoke portfolio optimization frameworks like a reformulated ERC and a generalized risk-budgeting system. He combines deep numerical research (SGD prototypes, integrations with kdb+) with hands-on consulting across finance and scientific computing, and often translates advanced language features into practical HPC improvements. A former instructor and tutor with a background in finance and applied mathematics, he brings both pedagogical clarity and commercial pragmatism to complex algorithmic problems.
11 years of coding experience
6 years of employment as a software developer
Post-Baccalaureate Studies, Post-Baccalaureate Studies at The University of Akron
B.B.A., Finance, B.B.A., Finance at Kent State University
My implementation of algorithms and other facilities within the C++ Standard Library.
Contributions:2 PRs, 92 pushes, 2 branches in 11 months
cppstandard-libraryfacilitiescpp17data-structures
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Christopher Brandt - Quantitative Developer & Technical Consultant