About this role:

Wells Fargo is seeking a Quantitative Analytics Specialist.

In this role, you will:

• Develop, implement, and calibrate various cloud and on-prem generative models, ML models, and DL models.
• Develop and evaluate reasoning models, LLM agents, prompt designs, and agentic solutions on the lines of model performance and observability.
• Perform red teaming and adversarial testing to explore and fix vulnerabilities in developing and deploying advanced NLU products.
• Partner with the Lead data scientists and data science manager to develop and implement NLP and LLM-based applications
• Work as part of a team on data science projects and work closely with business partners across the organization to define business problems and translate them into analytical problems
• Perform data wrangling, data exploration and data pre-processing activities
• Develop ablation studies and full-length experiments for the problem at hand (statistical modeling, supervised, unsupervised, semi-supervised)
• Work closely with data engineers, platform engineers, and UI specialists to deliver top notch AI and NLP solutions for the bank
• Stay updated with the latest advancements in NLP/LLM research and technologies
• Drive innovation through proof-of-concepts and research initiatives
• Inculcate best practices for model development, evaluation, and deployment
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in model design.

• Develop, implement, and calibrate various analytical models

• Perform highly complex activities related to financial products, business analysis and modeling

• Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL

• Perform analytical support and provide insights regarding a wide array of business initiatives

• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management

• Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals

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:

• 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
• Demonstrate strong skills in technologies including but not limited to Python, PySpark, H2O, SQL, and one of GCP/Azure/AWS tech-stack (preferably Vertex AI, BigQuery)
• Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences
• 2+ years of experience working with transformer-based models and LLMs
• Experience with supervised, unsupervised, and semi-supervised learning
• Experience with deep-learning, artificial intelligence techniques
• Strong programing skills and experience with handling some of the following data modes: text, image, voice, video, program logs
• Experience with Sql ,Teradata, Hadoop, Spark
• Strong programming skills in Python and experience with NLP libraries (NLTK, spaCy, Hugging Face)
• Experience in developing NLP models with logistic regression, XGboost, LightGBM’s, SVC etc.
• Demonstrated experience fine-tuning and deploying LLMs (GPT, BERT, T5, etc.)
• Experience with prompt engineering and optimization techniques
• Knowledge of model evaluation metrics and performance optimization
• Experience working in technical teams and complex projects
• Strong collaboration skills
• Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
• Experience developing and deploying cloud solutions on any of GCP, AWS, Azure for AI/ML workloads
• Experience and in-depth understanding of packages involving red-teaming, prompt optimization, observability.
• Output deployment using appropriate technologies (HTML5, Shiny, Django)
• Working expertise in Tensorflow, Keras or Pytorch
• Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry
• Experience with multimodal models and advancements in retrieval-augmented generation (Hyde RAG, Graph etc.)
• Contributions to open-source NLP/LLM projects or research publications
• Experience with MLOps and model deployment pipelines
• Knowledge of responsible AI practices and bias mitigation techniques
• Experience with distributed computing for large-scale model training

Posting End Date: 

11 Feb 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.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our 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.