Lead Quantitative Analytics Specialist - AI Innovation & Modeling; AIM

Position: Lead Quantitative Analytics Specialist - AI Innovation & Modeling (AIM)
Why Wells Fargo Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place.

Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 Linked In Top Companies list of best workplaces “to grow your career” in the U.S. Join us!

About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist within the AI Innovation & Modeling (AIM) group under the COO - Data, Analytics and AI, to drive our GenAI and large language model initiatives. This role is pivotal in translating cutting-edge AI and GenAI capabilities into scalable, ethical, and high-impact use cases that align with enterprise goals and regulatory standards. You will be responsible for guiding cross-functional execution, collaborating with stakeholders, and ensuring the integrity and performance of quantitative models used in real-time decision-making.

Your work will directly influence the quality and reliability of model-based analytics and technology solutions across the COO organization. In this role, you will:

Lead the design, development, and implementation of Machine Learning (ML), GenAI and LLM-based systems for complex language understanding tasks.

Architect scalable and robust solutions using state-of-the-art Machine Learning and GenAI techniques and open-source or vendor frameworks.

Guide and mentor junior team members, fostering technical excellence and collaboration.

Partner with cross-functional teams to gather requirements and deliver impactful AI-driven solutions.

Engage with validators, auditors, and technical stakeholders to ensure transparency and compliance.

Stay abreast of emerging trends in Machine Learning, LLMs, and GenAI, and translate research into practical applications.

Drive innovation through proof-of-concept initiatives and exploratory research.

Establish and promote best practices for model development, evaluation, and deployment.

Build and operationalize AI/ML models using state-of-the-art libraries and cloud-native tools.

Required Qualifications:

5+ 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

Desired

Qualifications:

Hands-on experience with GenAI framework (e.g., Google ADK, Langchain) and tools.

Deep understanding of ML, LLMs, and GenAI technologies. Experience in responsible AI practices and regulatory alignment. Strong programming skills in Python.

Demonstrated experience fine-tuning and deploying LLMs.

Experience with prompt engineering and optimization techniques.

Knowledge of model evaluation metrics and performance optimization.

Experience with multimodal models and retrieval-augmented generation.

Contributions to open-source ML/NLP/LLM projects or research publications.

Experience with MLOps and model deployment pipelines.

Experience with cloud platforms (GCP, Azure) for ML workloads.

Background in specific domain applications (banking, finance,…