Naveed Merchant
Manager Internal Audit- Risk Analytics And Modeling at Charles Schwab
Richmond, Texas, United States
Summary
👤
Senior🎓
Top SchoolNaveed Merchant is a statistician and risk analytics manager with eight years of experience turning large, messy datasets into actionable insights using R, Python, and Spark. Currently leading model review and regulatory-aligned audits at Charles Schwab, he specializes in fast screening and scalable pipelines that make historical and real-time decisioning practical for financial firms. His PhD research and academic work produced a novel Bayesian nonparametric test now used to select predictive features across domains from fraud detection to genomics. Naveed pairs hands-on model development with a track record of operationalizing research—building dashboards, ETL workflows, and reproducible tools—to help teams access consistent data and methods. Based in Richmond, Texas, he blends academic rigor with applied problem-solving across finance, healthcare, and agriculture.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science Applied Mathematics, Bachelor of Science Applied Mathematics at Texas A&M, CollegePHD Statistics, PHD Statistics at Texas A&M UniversityProgramming languages (1)
Github contributions (5)
naveedmerchant/BayesScreening
Nov 2019 - Oct 2021
A github repo for developing an R package for screening based on Bayesian Tests
Contributions:47 commits, 4 PRs, 29 pushes in 1 year 11 months
naveedmerchant/naveedmerchant.github.io
Dec 2022 - Oct 2024
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com. Following the demo.
Contributions:22 pushes in 1 year 10 months
tailwindcsssimple-websitefollowingcssminutes
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.