How to Get and Keep a Job as a Data Scientist in Model Risk Management

In the contemporary world, the demand for data scientists has reached unprecedented heights, presenting a myriad of opportunities that may also hide certain challenges. This seminar aims to delve into the constantly evolving expectations for entry-level data scientists, encompassing crucial aspects such as degree selection, resume building, and effective interview techniques. Additionally, it will shed light on the essential skills and behaviors at work required for a thriving career in data science.

Presenter/Title: Alex Shenkar, Senior Model Validation Officer II, SVP Model Risk Oversight, Team Lead for Credit and Loss Forecasting, Truist

Bio: Alex Shenkar is responsible for validation of a diverse portfolio of models for Consumer, Insurance, Corporate and Commercial Banking including risk rating, scorecards, valuation, operational risk, and loss forecasting. Prior to joining SunTrust now Truist in 2013, Alex spent almost 11 years at Bank of America managing the following processes: Model Governance and Risk Management, Credit Risk Models Development, Decisions Engines, Change Management, Fraud, Information Security, and Data Management. His last position with Bank of America was Senior Vice President, Quantitative Compliance for Consumer and Small Business Banking. He received M.B.A. and M.S. in Applied Mathematics.

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