Gene Dan is an AVP and experienced pricing and predictive-modeling actuary with 11 years building GLM-driven pricing and fraud/triage models for commercial lines across insurers and consultancies. Based in Chicago and credentialed FCAS, MAAA, and CSPA, he melds deep actuarial domain expertise with production-grade coding in R, SAS, Python, SQL and C++, having led teams migrating analytics to Databricks and automating index construction and backtesting. His work spans pricing algorithm design, claims analytics, and capital/reserving studies, with a track record of translating complex data science into deployable systems and repeatable workflows. Notably, he has managed hiring and sales efforts in startup-like engagements, blending technical leadership with client-facing delivery.
11 years of coding experience
1 year of employment as a software developer
B.S., B.A., B.A., Mathematics, Economics Honors, Plan II Honors, B.S., B.A., B.A., Mathematics, Economics Honors, Plan II Honors at The University of Texas at Austin
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Gene Dan - AVP, Pricing And Modeling Actuary at SCOR