Senior Lead Analytics Consultant

Wells Fargo

. Apply advanced analytics, machine learning, natural language processing, and AI techniques to identify employee misconduct, employee-enabled fraud, and related conduct risks .

Posted 10/14/2026full-timeUnited StatesSenior💰 $139,000 - $239,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and SAS for data engineering and analytics, with a strong focus on machine learning and natural language processing. Capable of leading complex technical projects while ensuring compliance with regulatory and data governance standards.

Highest-signal resume keywords

Advanced Python ProficiencyStrong SAS Coding SkillsExperience with Machine Learning SolutionsData Acquisition and Integration ExpertiseFluency in Generative AI Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsMachine LearningNatural Language ProcessingData EngineeringFinancial ModelingStatistical AnalysisRisk DetectionData PreparationModel EvaluationAutomation

Soft Skills

Strong Communication SkillsLeadershipCollaborationProblem-SolvingAdaptability

Tools & Technologies

AI-Assisted Development ToolsGitHub CopilotData Governance ToolsData Quality ToolsMetadata Management Tools

Industry Keywords

Risk ManagementComplianceFinancial ServicesData GovernanceMonitoring

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Apply advanced analytics, machine learning, natural language processing, and AI techniques to identify employee misconduct, employee-enabled fraud, and related conduct risks
Design, develop, test, and operationalize end-to-end analytics and AI/ML solutions using structured and unstructured data, including emails and coaching notes
Lead data acquisition, engineering, modeling, and preparation activities to move risk detection solutions from prototype to production
Establish reusable methodologies, frameworks, coding standards, and development patterns in Python and SAS
Evaluate emerging AI and analytics technologies and select practical, scalable approaches for complex monitoring and risk detection needs
Use AI-assisted development tools for coding, testing, documentation, and solution refinement with human review and controls
Analyze sensitive, large-scale data to identify patterns, anomalies, and risk signals
Translate complex analytical findings into actionable insights for business and risk management stakeholders
Provide technical leadership and expert guidance to senior leaders, analytics teams, and cross-functional partners
Coordinate complex activities across the enterprise
Ensure solutions comply with legal, regulatory, data governance, model risk, information security, and enterprise policy requirements
Partner across risk functions within Consumer Banking and Lending to provide operational support for customer products and services

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
Advanced proficiency in Python for data engineering, analytics, machine learning, automation, testing, and production-grade development
Strong SAS coding skills, including production data preparation, analysis, and reporting workflows
Experience designing and implementing advanced analytics, machine learning, natural language processing, or generative AI solutions using large-scale structured and unstructured data
Experience with data acquisition, integration, modeling, and preparation for complex analytics and machine learning workflows
Experience identifying risk, anomalies, or behavioral patterns through analytics, preferably in monitoring, financial services, compliance, or risk management
Ability to design fit-for-purpose model evaluation approaches, including custom evaluation methods
Experience building reusable frameworks, standards, and automated production pipelines
Familiarity with data quality, schema design, metadata management, data governance, documentation, and controls for sensitive data
Fluency in generative AI and AI-assisted development tools such as GitHub Copilot
Ability to independently lead highly complex technical work and evaluate emerging technologies
Strong written and verbal communication skills
Ability to work in fast-paced, exploratory environments while balancing innovation, production rigor, and regulatory and policy requirements
Must be able to work at one of the required locations: Charlotte, North Carolina; Chandler, Arizona; Minneapolis, Minnesota; Irving, Texas; West Des Moines, Iowa; or San Antonio, Texas
Position is not eligible for Visa sponsorship

Benefits

Comp & perks

Competitive salary
Robust benefits package
Work-life balance and well-being programs
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
Potential eligibility for discretionary bonus and incentive opportunities