Senior Risk Analytics Consultant

at  Wells Fargo

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

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

Desired Qualifications:

• Demonstrated ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization.
• Demonstrated ability to be flexible and adjust plans quickly to meet changing business needs.
• Demonstrated ability to quickly learn business operations and processes.
• Demonstrated ability to take initiative, identify opportunities and implement change.
• Experience in developing partnerships and collaborating with diverse team members representing diverse functional areas.
• Good understanding of modeling concepts, familiarity with model implementation and production, and model governance.
• Experience with risk management concepts, audit, and controls.
• Understanding of key regulatory compliance risk components, including experience driving consistency and quality across all aspects of a risk function, including a solid understanding of process controls.
• Strong conceptual and quantitative problem-solving skills.
• Ability to effectively manage multiple assignments with challenging timelines.
• Excellent verbal, written, and interpersonal communication skills

Wells Fargo is seeking a Senior Risk Analytics Consultant within Corporate Risk Strategy Planning & Governance (SPG) specifically supporting Model Operations and Controls (MOC). Model Operations and Controls is an independent team which focuses on coordinating workflow throughout the model lifecycle process, providing oversight of all Risk Modeling Group (RMG) controls, managing interactions with oversight groups, supporting and maintaining adherence to model risk management policy - all necessary to ensure the ongoing success of the greater RMG team.
MOC is seeking an individual leader to join the team with the focus on Auto Forecasting model support. This position will focus on partnering with RMG Auto Forecasting modeling teams, performing Auto model governance, tracking model issue remediation, project management, and ensuring RMG is adhering to Model Risk Management Policy.
This position joins a high functioning, high profile team and requires the presence and professional demeanor necessary to interact effectively with team members across SPG, RMG, Lines of Business (LOB), model governance, oversight, validation, and audit organizations, as well as strong documentation capabilities that can effectively convey complex processes. The candidate must possess organizational and prioritization skills, as well as strong attention to detail. This role will require critical thinking and a tactical approach to problem solving.

In this role, you will:

• Lead or participate in moderately complex initiatives and delivering insight and decision strategies within analytics and reporting and contribute to large-scale planning related to Risk Analytics.
• Be responsible for reviewing process production, data reconciliation, and model documentation in alignment with policy governance.
• Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals.
• Partner with cross enterprise risk analysts in development of common modeling strategies.
• Support efforts related to G&O, COSO, EUCT and Information Security compliance. Develop documentation including process narratives and desktop procedures ensuring compliance within key policy and regulatory standards.
• Collaborate with development and production teams to lead model development and production planning as well as regulatory engagements, ensuring robust control documentation and timely and appropriate communication with testing teams within the following areas: Credit stress testing, Basel, financial planning, decision support and Allowance/CECL processes.

Required Qualifications:

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

Desired Qualifications:

• Demonstrated ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization.
• Demonstrated ability to be flexible and adjust plans quickly to meet changing business needs.
• Demonstrated ability to quickly learn business operations and processes.
• Demonstrated ability to take initiative, identify opportunities and implement change.
• Experience in developing partnerships and collaborating with diverse team members representing diverse functional areas.
• Good understanding of modeling concepts, familiarity with model implementation and production, and model governance.
• Experience with risk management concepts, audit, and controls.
• Understanding of key regulatory compliance risk components, including experience driving consistency and quality across all aspects of a risk function, including a solid understanding of process controls.
• Strong conceptual and quantitative problem-solving skills.
• Ability to effectively manage multiple assignments with challenging timelines.
• Excellent verbal, written, and interpersonal communication skills.

Job Locations:

• 401 S. Tryon Street - Charlotte, North Carolina
• 250 E. John Carpenter Freeway - Irving, Texas
• 600 S. 4th Street - Minneapolis, Minnesota
• 1150 W. Washington Street - Tempe, Arizona
• 800 S. Jordan Creek Parkway - Wes Des Moines, Iowa

Job Expectations:

• Ability to work at one of the approved locations in the job posting.
• This position is not eligible for Visa sponsorship.
• This position offers a hybrid work schedule.