Senior Credit Risk Specialist – Transaction Risk Management

Wells Fargo

. Develop, implement, and optimize transaction risk strategies .

Posted 10/14/2026full-timeUnited StatesSenior💰 $100,000 - $196,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing transaction risk strategies through advanced analytical techniques, including SQL, SAS, Python, and R. Capable of translating complex data insights into actionable business recommendations while ensuring compliance with model governance and risk management frameworks.

Highest-signal resume keywords

Credit Risk ExperienceStatistical AnalysisSQLSASPython

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Transaction Risk StrategiesStatistical AnalysisAnomaly DetectionModelingRisk ReportingData ManagementAnalytical Decisioning SolutionsRisk OptimizationData AnalysisPredictive Models

Soft Skills

Strong Communication SkillsCollaborationProblem-Solving

Tools & Technologies

SASSQLPythonRData Analytics Tools

Industry Keywords

Model Risk ManagementFraud RiskCustomer DecisioningPortfolio ManagementRisk Management Frameworks

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop, implement, and optimize transaction risk strategies
Analyze transaction, customer, and portfolio data to identify emerging risks
Monitor strategy performance and conduct root-cause and risk analyses
Evaluate new data sources and analytical approaches and recommend improvements
Develop and maintain analytical solutions using SAS, SQL, Python, R, or other tools
Collaborate with business, technology, model governance, and control teams
Document analysis, assumptions, methodologies, and results according to governance and control requirements
Support transaction risk strategy, decisioning performance, and customer outcomes
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, Model Governance, Audit, Legal, Compliance, and other stakeholders

Requirements

What you’ll need

4+ years of Credit Risk experience, or equivalent demonstrated through work experience, training, military experience, or education
3+ years of experience applying analytical techniques, statistical analysis, anomaly detection, modeling, and risk reporting in a financial services environment
3+ years of experience using SQL, SAS, Python, R, or similar data management and analytics tools
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 with the ability to explain analytical concepts to technical and non-technical audiences
Experience supporting automation, process improvement, and analytical modernization efforts
Ability to work at one of the approved locations in the job posting
Visa sponsorship not available
Willingness to comply with the current hybrid work model

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Incentive opportunities may be available