Wells fargo

Overview

Develop, enhance and monitor credit risk models using advanced statistical, econometric, and machine learning methodologies to support business and risk management objectives.

About Wells fargo

Wells Fargo is seeking a Senior Quantitative Analytics Specialist (Senior Assistant Vice President) to support the development, implementation, and enhancement of credit risk models used for risk measurement, portfolio management, forecasting, and strategic decision-making.

Requirements & Eligibility

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Key Responsibilities

• Develop, enhance and monitor credit risk models using advanced statistical, econometric, and machine learning methodologies to support business and risk management objectives.
• Perform advanced coding, data analysis, and statistical modeling using Python, SQL, SAS, R, Spark, and other analytical tools to evaluate large complex datasets to identify risk trends, portfolio behavior, and emerging risks.
• Design and execute model development strategies, including data preparation, feature engineering, model estimation, performance testing, and ongoing monitoring.
• Perform quantitative analyses to support credit risk measurement, loss forecasting, stress testing, and portfolio management initiatives.
• Partner with risk managers, business stakeholders, and technology teams to deliver scalable and impactful analytical solutions.
• Document model development processes, assumptions, methodologies, testing results, and performance metrics in accordance with model governance standards.
• Prepare and present model results, technical findings, and recommendations to model validators, auditors, regulators, and senior management.
• Respond to model review findings and provide support during model validation, audit, and regulatory examinations.