Senior Quantitative Analytics Specialist, Credit Risk Modeling & Data Analytics
Wells Fargo
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How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $135,000–$200,550.
Based on 240 similar postings.
Employer
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has 40 open roles on FindRole.
Listed pay typically runs $159,000–$279,000 across 21 roles with salary data.
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At a glance
Lead Quantitative & Data Analytics Specialist will join the Enterprise Functions Technology group to lead the design, development, and modernization of data platforms supporting Enterprise Finance Analytical Reporting. This role involves providing technical leadership for a high-performing engineering team while building scalable data pipelines, batch and streaming integration solutions, and AI-ready data architectures. The position focuses on creating semantic data layers to support Generative AI, Retrieval-Augmented Generation, and Agentic AI capabilities. Key responsibilities include improving data quality, lineage, and observability while managing cloud modernization initiatives. Required skills include expertise in Python, SQL Server, and data modeling for ETL/ELT processes. Candidates should be proficient with CI/CD tools like GitHub and Harness, and possess experience with OpenShift Container Platform. The role solves complex problems regarding enterprise knowledge management through well-governed, metadata-driven assets and advanced analytics capabilities.
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