• Quantitative Analytics Specialist - NLP and GEN AI

    Wells Fargo (Irving, TX)


    About this role:

    Wells Fargo is seeking a **Quantitative Analytics Specialist** within the **AI Innovation & Modeling (AIM)** group under the **Chief Administrative Office (CAO)** . You will focus on NLP and GenAI model delivery across multiple Line of Business. Utilizing cutting-edge AI and GenAI, this role is essential in building scalable, ethical, and high-impact use cases that align with enterprise goals and regulatory standards.

    In this role, you will:

    + Perform highly complex activities related to product analytics, statistical and AI modeling

    + Build GenAI applications: Implement retrieval‑augmented generation (RAG), tool‑use/function‑calling, and multi‑step planning using modern LLM stacks (e.g., OpenAI SDK, Hugging Face, Anthropic, or similar).

    + Build engineer AI agents: Design task‑oriented and autonomous agents that safely orchestrate tools/APIs, reason over context, and manage memory; implement guardrails.

    + Evaluation & safety: Define success metrics; build offline/online evals; design A/B tests, red‑team scenarios, and feedback loops.

    + Security & compliance: Implement privacy controls, PII handling, content filters, RBAC/ABAC, and audited already telemetry aligned to enterprise standards.

    + Partner & deliver collaborate and coordinate with product, Technology, model risk, and platform teams.

    + Operate within risk, controls and compliance framework, e.g., document robust model lifecycle artifacts

    Required Qualifications:

    + 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

    Desired Qualifications:

    + Strong in Python and scripting language

    + Hands‑on with LLM application development (prompts, RAG, function‑calling/agents) and modern frameworks (e.g., LangChain/LlamaIndex, OpenAI SDKs).

    + Practical knowledge of vector databases/embeddings, tokenization, prompt optimization, and latency/cost tuning.

    + Familiarity with AI safety/Responsible AI practices (guardrails, content filtering, red‑teaming, bias considerations).

    + 2+ years building LLM‑powered systems in production.

    + Experience designing agentic workflows (planning, tools, memory, multi‑agent collaboration) and hierarchical or supervisor models.

    + Experience with information retrieval (BM25/splade, hybrid search), document processing (OCR, PDF/HTML parsers), and evaluation datasets.

    + Regulated‑industry experience and partnering with risk/compliance/legal on model governance.

    Job Expectations:

    + This position offers a hybrid work schedule

    + This position is not eligible for Visa sponsorship

    + Candidate must reside within a reasonable commute to a location listed in the posting

    Posting End Date:

    24 Jan 2026

     

    _*Job posting may come down early due to volume of applicants._

     

    We Value Equal Opportunity

     

    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.

     

    Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. 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.

     

    Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

     

    Applicants with Disabilities

     

    To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo (https://www.wellsfargojobs.com/en/diversity/disability-inclusion/) .

     

    Drug and Alcohol Policy

     

    Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.

    Wells Fargo Recruitment and Hiring Requirements:

    a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

    b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

    **Req Number:** R-515703