Lead Risk Analytics Consultant

About this role:

Wells Fargo is seeking a Lead Risk Analytics Consultant.

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications:

• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Proven experience inmarket risk analytics, stress testing, and regulatory reporting.
• Advanced proficiency in SQL and Python, including experience with data pipelines, statistical modeling, and automation.
• Strong understanding of data governance, integrity frameworks, and risk data aggregation principles.
• Ability to work independently while influencing and mentoring peers and junior team members.
• Excellent communication and stakeholder management skills.

Job Expectations:

• Lead and executeadvanced business modeling and analytics initiatives with broad organizational impact, particularly in stress testing and portfolio analysis.
• Design, review, and optimizecomplex programming models to extract, transform, and analyze data from large-scale databases usingSQLandPython.
• Drive pilot programsderived from analytical models, ensuring successful rollout and adoption across supported business units and product lines.
• Make strategic decisionson product modeling, risk exposure, and data architecture, with a deep understanding of regulatory frameworks, compliance requirements, and internal policies.
• Collaborate and consultwith cross-functional teams, including risk analysts and managers, to resolve production and regulatory issues and align on modeling goals.
• Mentor and guideteam members by sharing technical expertise, promoting best practices, and fostering a culture of continuous learning and innovation.