Lead Quantitative Analytics Specialist

• Lead the validation projects and coach junior team members
• Review analytical data and sampling plans, various modeling frameworks, model replications, model performance assessments, test model development, model monitoring, and provide effective challenge to lines of business
• Develop reusable code and libraries to accelerate NLP and Gen AI model validation
• Write detailed standard analytical reports to ensure Wells Fargo's compliance with governance policies and regulations
• Communicate with stakeholders, regulators, and auditors

• 5+ years of Quantitative Analytics experience or equivalent demonstrated through work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
• In-depth knowledge of Machine Learning (ML) methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning
• In-depth knowledge of Natural Language Processing concepts including transformer architecture and other generative AI technologies
• 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 PyTorch, TensorFlow and Keras
• Experience with GPU programming, multi-core, or distributed programming
• Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds
• Ability to work in cross-organizational projects and collaboratively with other groups
• Be self- motivated, require minimal supervision, and produce work that is consistent with MRM's recognized framework, procedure, and high standards
• Proficient with MRM framework and procedure

A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline

• 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