This listing doesn't post a salary. Most similar roles pay
$132,000–$205,462.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
39 open roles
on FindRole.
Listed pay typically runs
$159,000–$254,000
across 24 roles with salary data.
Senior Credit Risk Specialist joins the Corporate Risk team to lead complex initiatives regarding credit card originations and credit line assignment strategies. The role involves analyzing large-scale consumer lending data to monitor performance trends, detect emerging risks, and perform root cause analysis on portfolio metrics. You will develop and evaluate risk strategies using statistical analysis, predictive modeling, and segmentation techniques while collaborating with cross-functional teams to design decision engines. Key responsibilities include evaluating profitability drivers like acquisition and loss metrics, managing information systems reports, and ensuring adherence to regulatory requirements. The position requires proficiency in Python, SAS, or SQL for data manipulation, alongside expertise in machine learning, database mining, and underwriting. This role addresses the critical business problem of balancing credit risk mitigation with portfolio profitability within the consumer lending product space.
Lead complex credit risk initiatives for credit card originations and credit line assignment strategies.
Analyze large-scale consumer lending data to monitor performance trends and detect emerging risks.
Perform root cause analysis on credit metrics to recommend data-driven strategies for portfolio profitability.
Develop and evaluate credit risk strategies using statistical analysis, predictive modeling, and segmentation techniques.
Design and implement credit decision strategies in collaboration with cross-functional teams.
Assess business and technical processes to identify inefficiencies and recommend improvement solutions.
Communicate analytical results and strategic risk insights to senior management and stakeholders.
Use Python, SAS, or SQL to extract and manipulate large datasets for risk strategy development.
What we're looking for
A Bachelor's degree in Computer Science, Computer Engineering, or a related technical field plus 4 years of experience in risk analytics is required.
A Master's degree in Computer Science, Computer Engineering, or a related technical field plus 2 years of experience in risk analytics is accepted as an alternative.
Experience using Python, SAS, or SQL to analyze large datasets and develop risk strategies is required.
Experience performing statistical analysis and applying predictive modeling or machine learning techniques in a business context is required.
Experience in credit card or unsecured lending, including originations or account management strategies, is required.
Experience with credit risk management concepts, such as underwriting, loss forecasting, and portfolio monitoring, is required.
Experience with profitability drivers for consumer lending products, including revenue, loss, and utilization metrics, is required.
Experience working with databases, data mining techniques, and translating complex quantitative analyses into actionable business insights is required.
SQL
Python
R
SAS
Tableau
Machine Learning
Regression Modeling
Data Science
AI
Automation
Portfolio Management
Credit Risk Management
Hypothesis Testing