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About the Role
Wells Fargo is seeking two Senior Quantitative Analytics Specialists (Senior GenAI Data Scientists) to drive natural language processing (NLP) and large language model (LLM) initiatives within the Consumer Model Development group. This role is for a seasoned professional passionate about building scalable NLP solutions and innovating LLM applications.
Responsibilities
- Apply advanced statistical theory to quantify, analyze, and manage data, financial risks, and market dynamics through robust modeling approaches.
- Collaborate with stakeholders to gather requirements and deliver data-driven and AI-enabled solutions.
- Engage with Audit, Model, Product, and technical stakeholders to ensure transparency, governance, and compliance.
- Establish and promote best practices across the model lifecycle, contributing to analytical strategies and forecasting methodologies.
- Drive innovation through proof-of-concept initiatives, experimentation, and applied research in Generative AI, LLMs, and NLP.
- Guide and mentor junior team members, fostering technical excellence and knowledge sharing.
- Lead the design, architecture, and implementation of scalable AI, ML, NLP, and LLM solutions using modern frameworks and cloud-native tools.
Requirements
- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
- Ability to travel up to 5%.
- Adhere to standards outlined with written policy and applicable State and Federal regulations.
- Willingness to work on-site at the stated location.
Skills
- Natural Language Processing (NLP)
- Large Language Models (LLM)
- Generative AI
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Prompt engineering
- Multimodal models
- Retrieval augmented generation
- Python
- PySpark
- PyTorch
- TensorFlow
- Hugging Face
- NLTK
- spaCy
- Google Cloud Platform (GCP)
- Vertex AI
- Azure
- Data engineering
- Model development
- Model deployment
- Production support
- Agile practices
- Product management principles
- Model evaluation metrics
- Performance optimization techniques
- Responsible artificial intelligence (AI) practices
- Bias mitigation
- GitHub Copilot
Location
- San Francisco, California
- Charlotte, North Carolina
Work Type
- On-site
Experience Level
- Senior
- 4+ years
Education Level
- Bachelor's degree or higher
Salary/Compensations
- $139,000.00 - $217,000.00 (North Carolina)
- $153,000.00 - $260,000.00 (California)
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
About the Company
- Wells Fargo is an equal opportunity employer.
- Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture.
- 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.
Equal Opportunity
- 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.