Senior Credit Risk Specialist | Transaction Risk Management

Wells Fargo Bank•Concord, CA

1d•Hybrid

About The Position

The Senior Credit Risk Specialist (P3) is an individual contributor on the Transaction Risk team responsible for developing, implementing, monitoring, and optimizing data-driven strategies for real-time transaction decisioning. The role applies data, analytics, and quantitative techniques to manage risk across millions of transactions each month while balancing customer experience, fraud prevention, and business objectives. The specialist uses large datasets, analytical tools, automation, and emerging AI/ML capabilities to identify risks, assess strategy performance, and support business objectives. The position also contributes to modernizing transaction risk capabilities through cloud transformation, enhanced analytics, and evolving decisioning technologies. The role partners with business, technology, model governance, control, and other stakeholder teams to execute strategies and support effective risk management. It requires documenting analysis, assumptions, methodologies, and results in accordance with governance and control requirements. The position follows Wells Fargo’s hybrid work model, requiring work from a Wells Fargo facility at least four days a week, with the flexibility to work remotely one day a week. Visa sponsorship and relocation assistance are not available. Approved locations are listed in the job posting; other locations within the Wells Fargo footprint may be considered for current Wells Fargo employees.

Requirements

At least 4 years of Credit Risk experience, or equivalent demonstrated through work experience, training, military experience, or education.
Ability to work at one of the approved locations in the job posting.
Willingness to comply with the hybrid work model: work from a Wells Fargo facility at least four days a week, with the flexibility to work remotely one day a week.

Nice To Haves

At least 3 years of experience applying analytical techniques, statistical analysis, anomaly detection, modeling, and risk reporting in financial services.
At least 3 years of experience using SQL, SAS, Python, R, or similar data management and analytics tools.
Familiarity with GitHub, VS Code, GCP, or cloud-based analytical platforms.
Experience supporting the development, implementation, monitoring, or maintenance of risk strategies, predictive models, or analytical decisioning solutions.
Experience working with large and complex datasets and translating analytical findings into actionable business insights.
Familiarity with Model Risk Management (MRM), model governance, or comparable risk management frameworks.
Knowledge of transaction risk, fraud risk, customer decisioning, portfolio management, or risk optimization concepts.
Strong written and verbal communication skills, including the ability to explain analytical concepts to technical and non-technical audiences.
Experience supporting automation, process improvement, and analytical modernization efforts.

Responsibilities

Develop, implement, and optimize transaction risk strategies to improve decision quality, portfolio performance, and customer outcomes.
Analyze transaction, customer, and portfolio data to identify emerging risks and monitor strategy performance.
Conduct root-cause and risk analyses, evaluate new data sources and analytical approaches, and recommend improvements to risk detection and decision quality.
Develop and maintain analytical solutions using SAS, SQL, Python, R, or other tools to support risk decisioning, monitoring, and operational efficiency.
Collaborate with business, technology, model governance, and control teams to implement and maintain risk strategies.
Document analysis, assumptions, methodologies, and results in accordance with governance and control requirements.
Contribute to initiatives supporting transaction risk strategy, decisioning performance, and customer outcomes.
Apply quantitative analysis and sound judgment to solve business problems and support risk-based decision-making.
Support risk capability enhancements through analytics, automation, data innovation, and platform modernization.
Communicate analytical findings and recommendations to managers and business stakeholders.
Partner with business teams, Model Governance, Audit, Legal, Compliance, and other stakeholders to support effective risk management and strategy execution.
Follow applicable risk programs, Wells Fargo policies, procedures, and risk and compliance obligations; escalate and remediate issues as required.