Jordan Alexander
Quant Data Operations Engineer
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJordan Alexander is a Quant Data Operations Engineer in Boston with 11 years of experience building Python and MATLAB data infrastructure for asset-allocation quantitative research. At GMO he combines production-grade ETL, model data pipelines, and tooling to support research workflows, having previously led data-centric ML and automation projects at Enverus including a patent-pending blending algorithm. His background in geology and a computing certificate from UT Austin gives him a rare cross-domain perspective that helps translate domain data into auditable quantitative inputs. Comfortable communicating technical results to non-technical stakeholders, he has a track record of shipping prototypes that move from research to customer-facing outputs.
12 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Geology/Earth Science, General, Bachelor's degree, Geology/Earth Science, General at The University of Texas at Austin
Github Skills (4)
data-structures4
algorithms4
data-structure4
reinforcement-learning3
Programming languages (2)
Github contributions (5)
JFAlexanderS/JordanTemplateLibrary
Dec 2015 - Dec 2019
My implementations of common data structures and algorithms used in competitive programming
Contributions:1 PR, 7 pushes, 1 branch in 4 years
data-structuredata-structures
JFAlexanderS/Contest-Archive
Sep 2014 - Aug 2017
Contributions:114 commits, 39 pushes in 2 years 11 months
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