Aijun Zhang

Head of Machine Learning and Validation Engineering at Wells Fargo

Role
Quantitative Analytics Senior Manager, Head of Machine Learning and Validation Engineering at Wells Fargo
Location
Charlotte, NC, US
LinkedIn followers
500 followers

Experience

  1. Quantitative Analytics Senior Manager, Head of Machine Learning and Validation Engineering

    Wells Fargo

    Oct 2022 — Present · Charlotte, NC, US

    Responsible for leading and managing two key projects (PiML & ValOps) in MRM organization: • PiML (Python interpretable Machine Learning), an integrated toolbox for inherently interpretable model development, model conceptual soundness and outcome analysis (data quality, model explainability vs. interpretability, fairness, weakness detection, reliability, robustness and resilience).• ValOps (Validation Operations), an end-to-end platform for accelerated deployment and validation automation, in production for Model Risk Management. Key innovations include model wrapping, model transponder, test code standardization, and remote validation.

Education

  • University of Michigan

    PhD, Statistics

    2004 — 2009

  • Tsinghua University

    Admitted through Gaokao

    1998 — 1999

  • Hong Kong Baptist University

    BSc & MPhil, Mathematics and Statistics

    1999 — 2004

Skills

  • Portfolio Management
  • R
  • Analysis
  • Statistics
  • Data Analysis
  • Machine Learning
  • Financial Risk
  • Quantitative Finance
  • Financial Modeling
  • Credit Risk
  • Data Mining

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Aijun Zhang — Quantitative Analytics Senior Manager, Head of Machine Learning and Validation Engineering at Wells Fargo in Charlotte, NC, US | Unifers