Senior Quantitative Analytics Specialist – Senior GenAI Data Scientist

Wells Fargo

Senior Quantitative Analytics Specialist developing NLP solutions for Wells Fargo's AI initiatives. Collaborating with stakeholders to drive innovative, data-driven solutions in financial services.

Posted 7/7/2026full-timeSan Francisco • California, North Carolina • 🇺🇸 United StatesSenior💰 $139,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudGoogle Cloud PlatformPySparkPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Apply advanced statistical theory to quantify, analyze, and manage data, financial risks, and market dynamics through robust modeling approaches
Collaborate and partner with internal and external stakeholders to gather requirements and deliver impactful, data driven and AI enabled solutions
Engage with Audit, Model, Product, and technical stakeholders to ensure transparency, governance, and compliance with regulatory expectations
Establish and promote best practices across the model lifecycle, including development, evaluation, validation, deployment, and monitoring, while contributing to analytical strategies, modeling approaches, and forecasting methodologies through execution of complex model development and implementation
Drive innovation through proof-of-concept initiatives, experimentation, and applied research, while staying current on emerging trends in Generative AI, large language models (LLMs), and Natural Language Processing (NLP), and translating insights into practical business applications
Guide and mentor junior team members, fostering technical excellence, collaboration, and knowledge sharing
Lead the design, architecture, and implementation of scalable artificial intelligence (AI), machine learning (ML), Natural Language Processing (NLP), and large language model (LLM) solutions using advanced techniques, modern frameworks, and cloud native tools to support complex language understanding use cases

Requirements

What you’ll need

4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: 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
Advanced analytical and strategic thinking skills with the ability to assess complex data, systems, architectures, and data flows to identify risks and opportunities and drive timely, data driven decision making
Demonstrated ability to work independently, take initiative, and exercise sound judgment within a matrixed environment to drive business outcomes
Advanced collaboration, influencing, and communication skills with the ability to build trusted relationships, align stakeholders, and communicate complex information effectively across all organizational levels, including executive leadership
Demonstrated expertise in artificial intelligence (AI), including Generative AI, large language models (LLMs), Natural Language Processing (NLP), prompt engineering, multimodal models, and retrieval augmented generation, with experience leading initiatives from concept through production
Experience with Agile practices, product management principles, and modernization initiatives, including automation and cloud transformation, within financial services or other regulated environments
Familiarity with regulatory and compliance considerations related to artificial intelligence (AI) model development, validation, and deployment within regulated environments
Knowledge of model evaluation metrics, performance optimization techniques, and responsible artificial intelligence (AI) practices, including bias mitigation
Proficiency in Python with experience using machine learning (ML) frameworks (such as PySpark, PyTorch, TensorFlow), Natural Language Processing (NLP) libraries (such as Hugging Face, NLTK, spaCy), and cloud platforms including Google Cloud Platform (GCP), Vertex AI, or Azure
Strong data science capabilities across data engineering, model development, deployment, and production support, including experience leveraging artificial intelligence (AI) and automation tools such as Generative AI and GitHub Copilot to improve efficiency and delivery outcomes.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Statistical TheoryModel DevelopmentData AnalysisMachine Learning (ML)Natural Language Processing (NLP)Data EngineeringModel Evaluation MetricsPerformance Optimization TechniquesPrompt EngineeringBias Mitigation

Soft Skills

CollaborationInfluencingCommunicationStrategic ThinkingInitiative