Credit Risk Associate

Wells Fargo Bank•Charlotte, NC

1d•Hybrid

About The Position

Wells Fargo is seeking a Credit Risk Associate within the Wealth & Investment Management (WIM) Credit Risk Team. This role is structured as a development pathway for high-potential talent to progress toward future credit approval responsibilities for lending transactions. The position supports the WIM lending platform by integrating portfolio-level risk assessment with structured exposure to credit underwriting fundamentals and risk-based transaction structuring. This role supports the lending business within Wealth & Investment Management by applying analytical frameworks to assess credit risk across portfolios and individual transactions. The position emphasizes scenario analysis and stress-based methodologies to evaluate performance under varying market conditions and inform risk-based structuring decisions. Responsibilities include aggregating and interpreting data to identify key risk drivers, sensitivities, and vulnerabilities across exposures. The individual develops risk attribution insights linking stressed outcomes to collateral performance, liquidity, and leverage, translating these into recommendations for advance rates and structural protections. These insights are delivered to senior stakeholders to support disciplined credit decision-making and portfolio positioning. In parallel, the role supports the analysis of credit transactions and the ongoing evaluation of lending exposures for high-net-worth and ultra-high-net-worth clients through detailed assessment of financials, liquidity, leverage, cash flow, and global balance sheet strength.

Requirements

6+ months of Credit Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Recent completion of a bachelor's degree in a relevant field
Completion of a credit, banking, finance, accounting, economics, mathematics, statistics, data analytics, or related internship program
Participation in relevant rotational, internship, or early career development programs
Demonstrated interest in commercial banking, credit risk, underwriting, or portfolio management
Prior exposure to credit-related functions (e.g., lending, underwriting, credit risk, investment banking, private credit, or capital markets), with familiarity with transaction analysis or portfolio risk assessment
Demonstrated ability to analyze client financial statements, liquidity, leverage, cash flow, and balance sheet strength to assess repayment capacity and overall creditworthiness
Experience applying analytical frameworks—including scenario analysis or downside assessment—to evaluate credit risk and inform structuring decisions
Ability to interpret model outputs and data-driven insights, and translate them into clear, actionable risk perspectives
Familiarity with credit risk concepts, including probability of default, loss severity, and risk drivers across different asset classes
Familiarity with stress testing, forecasting, or portfolio risk concepts (e.g., CCAR, CECL, BLF) preferred but not required
Proficiency in analytical and data tools (e.g., Python, R, SQL, Excel), with the ability to work with large datasets and synthesize insights
Experience leveraging data and emerging tools (including AI capabilities) to enhance analysis and decision support
Understanding of broader risk disciplines (e.g., market, liquidity, counterparty risk) is a plus
Strong critical thinking skills with the ability to evaluate problems and challenge assumptions
Excellent written and verbal communication skills, with the ability to present analyses clearly to senior stakeholders
Ability to operate effectively in a fast-paced environment, manage competing priorities, and collaborate across teams

Responsibilities

Apply analytical frameworks, including scenario and stress-based analyses, to assess credit risk across portfolios and individual transactions, with a focus on informing risk-based structuring decisions.
Aggregate and interpret data to identify key risk drivers, sensitivities, and vulnerabilities, translating outputs into actionable insights for advance rates, collateral parameters, and other lending terms.
Evaluate credit transactions and develop independent risk views by assessing financials, liquidity, leverage, and collateral quality, while constructively challenging Front Line proposals.
Synthesize model outputs and deal-specific considerations to form a cohesive risk perspective that links portfolio insights with transaction-level structuring.
Partner with Front Line, Workout, and risk stakeholders to incorporate transaction-specific dynamics into broader portfolio risk assessments and recommendations.
Support the underwriting and ongoing evaluation of Wealth Management lending exposures for high-net-worth and ultra-high-net-worth clients.
Conduct targeted downside and stress analyses to assess potential impacts of market volatility, liquidity stress, and changes in borrower capacity.
Contribute to portfolio monitoring and risk communication by identifying emerging trends, highlighting vulnerabilities, and supporting stakeholder discussions.
Collaborate with model development teams to enhance analytical approaches and improve alignment between modeled outputs and observed transaction risk.
Work closely with senior credit officers to support disciplined credit assessment and build foundational credit judgment.
Demonstrate a strong risk mindset and intellectual independence.
Balance quantitative rigor with sound judgment.
Be comfortable operating in both framework-driven analysis and judgment-based credit decisions.
Show progression toward owning risk decisions, not just producing analysis.