In this role, you will:
- 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 or leadership experience
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, accounting, finance, economics, or computer science
Desired Qualifications:
- The successful candidate will provide local regional leadership across all areas of AIM
- Directly responsible for managing the team in India and leading a functional AIM portfolio.
- As a member of the AIM leadership team, participate in setting strategy and vision for the group.
- Participate in leading the vision, development, and execution of AI and GenAI initiatives to deliver transformative business value
- Collaborate with executives, data scientists, and engineers to align AI objectives with business objectives.
- Partner with CAO Technology to align the CAO technology initiative book of work to the analytics and reporting roadmap
- Identify opportunities for the use of advanced analytics and artificial intelligence to improve the effectiveness and efficiency of COO and CAO.
- Participate in the community of practice across Wells Fargo’s analytics and reporting teams
- Stay ahead of AI/GenAI advancements, fostering a culture of continuous innovation and adoption
- Team management - develop strong capabilities in the team, keep engagement levels high and manage bench and succession of talent.
- Functional depth and experience in data, analytics and reporting – working knowledge of tools, techniques, approaches, experience working in complex data environments.
- Experience working in large, complex matrixed environment.
- Financial Services/GSIB experience (preferred)
- Strong risk and control orientation, experience working on model risk will be an advantage
- Strong partnership and influence skills
- Commercial orientation and good judgement
- Analytics and reporting product management experience
- Bias to action and strong execution and delivery skills
- Strong communication and interpersonal skills
- “Builder” mentality
- Ability to “tell a story” with data and translate technical concepts for general managers
- Experience leading large teams
3 Apr 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.