Quantitative Analytics Director - Head of Model Methodology and Research

$207,900 - $431,900/Yr

Wells Fargo - McLean, VA

Full-time - Senior

McLean, VA

Credit Intermediation and Related Activities

About the position

Wells Fargo is seeking a head of the Model Methodology and Research group to lead the development of advanced models, algorithms, and tools that enhance modeling practices across the company. This role involves setting the vision and strategy for applied research in statistical modeling, machine learning, and optimization, while ensuring alignment with enterprise-wide risk management objectives. The individual will oversee a team of quantitative analysts and contribute to the continuous improvement of modeling standards and practices.

Responsibilities

• Set the vision and strategy to conduct applied research to drive the development of methodology and algorithms.
• Identify state-of-the-art techniques in modeling (statistics and ML) as well as optimization for application in risk management.
• Design, implement and automate model replication, benchmarking and testing with model risk's advanced computing platform to improve effectiveness and efficiency.
• Develop model library and platform to support model validation process.
• Present and publish best practices and research across the quantitative modeling community within the bank.
• Collaborate with internal and external quantitative communities to keep abreast of latest developments and practices in quantitative risk.
• 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.
• Manage teams of highly skilled quantitative analysts in mathematical or scientific disciplines and managers of such groups.
• Exercise usual authority of an experienced manager.
• Develop and guide a culture of talent development to meet business objectives and strategy.

Requirements

• 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

Nice-to-haves

• In-depth knowledge of ML methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning.
• Strong computing and programming background and knowledge of one or more languages such as Python and Java.
• Experience with ML/AI computing platforms and tools such as TensorFlow and Keras.
• Experience with GPU programming, multi-core, or distributed programming.
• Strong conceptual and quantitative problem-solving skills and demonstrated ability to contribute independently.
• Ability to work in cross-organizational projects and collaboratively with other groups.

Benefits

• 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