Alexander Libby is an Associate Data Consultant and Business Intelligence professional with 12 years of experience applying data analytics to finance and insurance. He builds predictive models (logistic regression in sklearn), automates portfolio and performance reporting with Python and SQL, and creates PowerBI dashboards that inform executive decision-making. His background as a credit analyst gives him deep domain expertise in corporate credit modeling, legal documentation review, and insurance reserving for multi-billion dollar facilities. At Flagstar he translated loan-level risk signals into improved forecasting and operational efficiency, and at Awbury he directly supported deal flow through detailed cashflow and risk modelling. Currently pursuing an MS in Management Science and Engineering at Columbia, he combines rigorous financial economics training with hands-on engineering of analytics workflows. He’s comfortable bridging quant modeling, data engineering, and stakeholder communication to turn complex structured finance problems into actionable insight.
12 years of coding experience
Master of Science - MS, Management Science and Engineering, Master of Science - MS, Management Science and Engineering at Columbia University in the City of New York
Contributions:19 commits, 3 pushes, 1 branch in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.