Generative AI Director

About this role:

Wells Fargo is seeking a Generative AI Director (Quantitative Analytics Director) to lead the Generative AI roadmap for the Consumer lines of business.

In this role, you will:

• Collaborate with executives in CSBB, Consumer Lending, and WIM to identify their highest priority Gen AI use cases and deliver on these priorities.
• Manage complex organizations that develop predictive models including Artificial Intelligence and Machine Learning
• Lead groups responsible for creation, implementation, validation, and ongoing maintenance
• Analyze models, manage markets, credit, counterparty, and operational risks
• Forecast losses and compute capital requirements
• Identify opportunities and strategies for analytics and data science through experienced managers and business strategies
• Collaborate across the enterprise to predict current and future needs
• Evaluate, recommend, and implement strategies for developing and modeling resources to predict, improve, measure the success of fundamentals and new initiatives
• Recommend and implement strategies for developing and utilizing model resources to predict, improve fundamentals and new initiatives
• Interpret and develop range of policies, procedures to drive continuous advancement of the state of analytics and data science
• Manage teams of highly skilled quantitative analysts in mathematical or scientific disciplines and managers of such groups
• Exercise usual authority of an experienced manager
• Manage allocation of people and financial resources for Quantitative Analytics
• Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications:

• 8 years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4 years of management experience
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, accounting, finance, economics, or computer science

Desired Qualifications:

• Experience working with Large Language Models
• Experience consulting on generative AI options to build a comprehensive roadmap
• 3 years experience in developing and deploying machine learning models for business applications, particularly in the financial services industry
• Experience with natural language processing techniques, such as text classification, entity recognition, sentiment analysis, and topic modeling
• Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
• Strong problem-solving skills, attention to detail, and ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders

Relocation Assistance Available

Locations:

Charlotte, North Carolina

Dallas, Texas

Minneapolis, Minnesota

New York, New York

Phoenix, Arizona

Chandler, Arizona

Pay Range
$207,900.00 - $431,900.00
Benefits

Wells Fargo provides all eligible full- and part-time employees with a comprehensive set of benefits designed to protect their physical and financial health and to help them make the most of their financial future. Visit Benefits - Wells Fargo Careers for an overview of the following benefit plans and programs offered to employees.

• 401(k) Plan
• Paid Time Off
• Parental Leave
• Critical Caregiving Leave
• Discounts and Savings
• Health Benefits
• Commuter Benefits
• Tuition Reimbursement
• Scholarships for dependent children
• Adoption Reimbursement

Posting End Date:
14 Mar 2024

• Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Applicants with Disabilities

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

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.