Wells Fargo is hiring a Lead Quantitative Analytics Consultant to deliver high-impact analytic and data science projects in support of operational risk initiatives. This partner-facing role will lead a small group of junior data scientists as the technical lead for enterprise-grade Generative AI programs within the Chief Operating Office organization.
What You'll Do
- Work individually or as part of a team on data science projects, closely partnering with business stakeholders across the organization.
- Lead a small group of junior data scientists and serve as the technical lead supporting enterprise-grade Gen AI programs.
- Develop statistical, machine learning, and GenAI models using techniques like supervised, unsupervised, and semi-supervised learning with technologies including SAS, R, Python, Spark, H2O, and Aster.
- Collaborate with data engineers, BI, and UI specialists to deliver top-tier analytical solutions.
- Define business problems and translate them into well-structured analytical problems.
What We're Looking For
- 8+ years of experience in data science and analytics with hands-on knowledge of related tools and technologies.
- Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs.
- Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations.
- Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques.
- Experience with model evaluation, monitoring, and Responsible AI, covering bias, hallucination mitigation, governance, and human-in-the-loop validation.
- Strong MLOps/LLMOps capabilities, including model lifecycle management, experiment tracking, deployment, cost control, and latency optimization.
- Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems.
- Ability to provide exploratory data analysis using Python, R, SAS, or SQL.
- Experience with databases like Oracle, Teradata, and SQL Server.
- Advanced Excel skills and experience with data integration and cleanup.
- Experience working with structured data and semi-structured text or Excel files.
- Business Intelligence skills with tools like Tableau, Power BI, Shiny, Dash, or HTML5.
- Business Analytics skills: data mining, trend analysis, forecasting, pattern recognition, opportunity identification, consultative problem definition, and presentation to management.
- Strong oral and written communication and consultative skills, with a commitment to delivering timely analyses that surpass partner expectations.
Nice to Have
- Strong collaboration skills.
- Experience with output deployment using technologies like HTML5, Shiny, or Django.
- Working expertise in TensorFlow, Keras, or PyTorch.
- Ability to translate analytical data into useful business information.
- Critical thinking and strong problem-solving skills.
- Ability to learn business aspects quickly.
- Knowledge of the banking industry and products in areas like credit cards, mortgage, deposits, loans, or wealth management.
- Knowledge of functional areas such as risk, marketing, operations, or supply chain within banking.
- Ability to multi-task and prioritize between projects.
- Ability to work independently and as part of a team.
Technical Stack
- Languages & Core Analytics: SAS, R, Python, Spark, H2O, Aster
- Databases: Oracle, Teradata, SQL Server, Excel
- Visualization & BI: Tableau, Power BI, Shiny, Dash, HTML5
- Machine Learning Frameworks: TensorFlow, Keras, PyTorch, Django
Team & Environment
You will lead a small group of junior data scientists within the AIM (AI Innovation and Modeling) central analytics group, which is part of the Product, Analytics and Modeling (PAM) department.
Wells Fargo is an equal opportunity employer. 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.
