Quantitative Analytics Specialist

Responsibilities

• Develop, implement, and calibrate various analytical models to support financial products and business analysis.
• Perform highly complex activities related to mathematical modeling and business analysis.
• Utilize Python, R, SAS, C++, and SQL to execute statistical and mathematical models.
• Provide analytical support and actionable insights regarding a wide array of business initiatives.
• Analyze workflow processes and recommend improvements for risk management.
• Collaborate with peers, managers, and regulators to resolve issues and achieve organizational goals.

Requirements

• 2+ years of Quantitative Analytics experience (or equivalent through work experience, training, or education).
• Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or a related quantitative discipline.
• Proficiency in programming languages such as Python, R, SAS, C++, or SQL.
• Strong knowledge of statistical and mathematical modeling.

Preferred Qualifications

• Familiarity with Generative AI concepts (LLMs, embeddings, prompt-based systems) and prototyping.
• Understanding of Responsible AI principles, including fairness, explainability, and data privacy.
• Exposure to deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with big data ecosystems like Spark, Hadoop, or Teradata.
• Banking domain familiarity in areas such as deposits, loans, cards, mortgage, or wealth management.
• Experience with end-to-end deployment practices, including CI/CD integration and model lifecycle tooling.

About the Company

Wells Fargo & Company (NYSE: WFC) is a leading financial services company with approximately $2.1 trillion in assets. We provide a diversified set of banking, investment, and mortgage products and services through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management.