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CHARLOTTE, NC; 141753-NC-Three Wells Fargo Center, Charlotte; IRVING, TX; WEST DES MOINES, IA; TEMPE, AZ; SAINT LOUIS, MO; MINNEAPOLIS, MN
Source: Wells Fargo careers · View original posting
From Wells Fargo's posting. “We” and “our” refer to the employer.
Wells Fargo is seeking a Senior Lead to join the Financial Crimes Analytics, Monitoring & Surveillance team with a focus in Sanction Screening Transaction modeling. This role is responsible for providing governance, oversight, monitoring, and strategic support for sanctions screening and artificial intelligence models used within the organization.
The position will lead model lifecycle activities, documentation modernization, control implementation, issue remediation, performance monitoring, and AI governance initiatives while ensuring compliance with Model Risk Management standards, regulatory expectations, and enterprise control requirements. The role will serve as a key liaison among business, technology, Model Risk Management, Audit, and operational stakeholders to ensure model effectiveness, transparency, and regulatory compliance.
Learn more about the career areas and business divisions at wellsfargojobs.com.
Lead governance, oversight, and lifecycle management activities for Financial Crimes and Sanctions Screening models, including Fircosoft and AI-enabled dispositioning solutions.
Maintain and enhance Model Development Documents (MDDs), Model Monitoring Programs (MMPs), and Model Use Checks (MUCs) in accordance with Wells Fargo Model Risk Management standards and Minerva requirements.
Rewrite and standardize model documentation into approved formats while simplifying procedures, eliminating outdated references, and improving overall documentation quality.
Design, implement, and maintain Model Use Checks, including Input, Output, Version, and AI-specific monitoring controls aligned to Shared Risk Platform (SHRP) requirements.
Support ownership and execution of Model Development, Implementation, and Use Controls, ensuring alignment with Model Risk Management guidance and regulatory expectations.
Coordinate quarterly model performance monitoring, certifications, annual reviews, revalidations, and model change management activities.
Analyze model performance results, key risk indicators, and effectiveness metrics to identify emerging risks, trends, and opportunities for optimization.
Partner with Model Risk Management (MRM), Technology, Financial Crimes Operations, Data Management, and Audit teams to address regulatory requirements and model governance obligations.
Lead efforts to remediate high risk issues, audit findings, validation observations, and control-related issues within committed timelines.
Develop and enhance model monitoring methodologies, sampling approaches, performance metrics, and control procedures.
Support implementation activities, deployment testing, and production readiness reviews for new model releases and model changes.
Establish and maintain governance frameworks for AI and machine learning solutions, including human-in-the-loop controls, model oversight, monitoring, escalation processes, and kill-switch controls.
Evaluate opportunities to leverage AI and automation to improve alert dispositioning, model monitoring, and operational efficiency.
Prepare and present model governance updates, performance results, risk assessments, and remediation progress to senior leadership, governance committees, and regulators.
7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, 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.
Ability to influence stakeholders and drive strategic initiatives across multiple organizations.
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 location(s) listed above. Relocation assistance is not available for this position
This position is not eligible for VISA sponsorship
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$139,000.00 - $239,000.00
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