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Senior Lead Analytics Consultant
Wells Fargo. Lead governance, oversight, and lifecycle management for Financial Crimes and Sanctions Screening models, including Fircosoft and AI-enabled dispositioning solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Financial Crimes and Model Risk Management, with a strong focus on governance, oversight, and lifecycle management of models. Proficient in AI and machine learning applications, regulatory compliance, and performance monitoring to enhance operational efficiency and risk mitigation.
Highest-signal resume keywords
Financial Crimes ExperienceModel Risk ManagementAI And Machine Learning GovernanceSQL ProficiencyCAMS Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Financial ModelingData AnalyticsModel ValidationQuantitative AnalysisPerformance MonitoringKPI DevelopmentModel Use ChecksChange ManagementRegulatory ComplianceDocumentation Standards
Soft Skills
Strong Communication SkillsAnalytical ThinkingCross-Functional CollaborationProject ManagementProblem-Solving
Tools & Technologies
FircosoftSASPythonSQLTableauPower BIExcel
Certifications & Qualifications
CAMSCRCMCFEFRMPMPSix Sigma
Industry Keywords
Sanctions ScreeningAMLFinancial CrimesModel GovernanceOperational Risk ManagementAudit RequirementsModel Lifecycle ManagementGovernance FrameworksRegulatory ExaminationsControl Frameworks
Tech Stack
Tools & technologiesPMPPythonSQLTableau
About the role
Key responsibilities & impact- Lead governance, oversight, and lifecycle management for Financial Crimes and Sanctions Screening models, including Fircosoft and AI-enabled dispositioning solutions
- Maintain and enhance Model Development Documents, Model Monitoring Programs, and Model Use Checks according to Wells Fargo Model Risk Management standards and Minerva requirements
- Rewrite and standardize model documentation, simplify procedures, remove outdated references, and improve documentation quality
- Design, implement, and maintain Input, Output, Version, and AI-specific Model Use Checks aligned with Shared Risk Platform requirements
- Support execution of Model Development, Implementation, and Use Controls
- Coordinate quarterly model performance monitoring, certifications, annual reviews, revalidations, and model change management
- Analyze model performance results, key risk indicators, and effectiveness metrics to identify risks, trends, and optimization opportunities
- Partner with Model Risk Management, Technology, Financial Crimes Operations, Data Management, and Audit teams
- Lead remediation of high-risk issues, audit findings, validation observations, and control-related issues
- Develop and enhance monitoring methodologies, sampling approaches, performance metrics, and control procedures
- Support implementation activities, deployment testing, and production readiness reviews for model releases and changes
- Establish governance frameworks for AI and machine learning solutions, including human-in-the-loop controls, oversight, monitoring, escalation, and kill-switch controls
- Evaluate AI and automation opportunities to improve alert dispositioning, model monitoring, and operational efficiency
- Present model governance updates, performance results, risk assessments, and remediation progress to senior leadership, governance committees, and regulators
Requirements
What you’ll need- 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through work experience, training, military experience, or education
- 3+ years of experience in Financial Crimes, Model Risk Management, Compliance, Risk Management, Data Analytics, Model Governance, or related disciplines
- Experience supporting sanctions screening platforms such as Fircosoft or similar financial crime systems
- Knowledge of Wells Fargo Model Risk Management policies, Minerva, SHRP, and model governance frameworks
- Experience with AI, machine learning, Generative AI, or agent-based model governance and monitoring
- Familiarity with model validation, quantitative analysis, performance monitoring, and KPI/KRI development
- Experience supporting regulatory examinations, internal audits, and issue remediation programs
- Knowledge of model controls, model use checks, and production implementation testing
- Experience developing monitoring programs, threshold methodologies, sampling strategies, and quality assurance reviews
- Proficiency with SQL, Python, SAS, Tableau, Power BI, Excel, or other analytical tools
- Professional certifications such as CAMS, CRCM, CFE, FRM, PMP, Six Sigma, or equivalent
- Experience supporting model lifecycle activities, including model development, implementation, monitoring, validation, certification, change management, and regulatory compliance
- Knowledge of sanctions screening, transaction monitoring, AML, Financial Crimes, or compliance programs
- Experience developing and maintaining formal governance documentation, including procedures, controls, methodologies, standards, and technical documentation
- Strong understanding of control frameworks, operational risk management, and audit requirements
- Experience partnering with cross-functional stakeholders across business, technology, data, operations, and risk organizations
- Ability to analyze large datasets and translate findings into actionable business insights
- Strong written and verbal communication skills with the ability to present complex concepts to senior leadership and regulators
- Experience managing multiple priorities, deadlines, and regulatory commitments in a highly controlled environment
- Required locations: Charlotte, North Carolina; Irving, Texas; Minneapolis, Minnesota; West Des Moines, Iowa; Tempe, Arizona; or Saint Louis, Missouri
- Relocation assistance is not available
- This position is not eligible for VISA sponsorship
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