# Senior Analytics Consultant at Wells Fargo

AI Level 3, AI centrality 65 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Bengaluru, India
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/b5476bd6-4903-4fc4-ab88-20772a9ce0ad

## Description

About this role: Wells Fargo is seeking a Senior Analytics Consultant. The role is essential to BOS’s shift toward an AI‑first, agentic Front Line Monitoring model, with LLMs and unstructured data analytics at the core. The role enables scalable use of LLMs, NLP, and agentic workflows to extract risk signals from qualitative data and reduce manual, judgment‑heavy processes. It provides the senior technical ownership needed to ensure explainable, auditable, and production‑ready AI adoption. Without this role, BOS faces delivery risk to its AI modernization agenda and delayed realization of signal‑quality and productivity gains already identified as strategic priorities In this role, you will: Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors Perform moderately complex data analysis to support and drive strategic initiatives and business needs Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements Lead or participate on large cross group projects Mentor less experienced staff Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals Leverage a solid understanding of compliance and risk management requirements for supported area Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Advanced hands‑on expertise in Python for analytics, anomaly detection, and scalable monitoring solutions Practical exposure to agentic AI and LLM usage for analytics acceleration or automation Experience working in GCP or cloud‑based analytics platforms Strong SQL skills with experience handling large, complex datasets Solid working knowledge of SAS within risk monitoring or regulatory environments Strong experience designing and reviewing visualizations in Power BI, Tableau, and Python Proven ability to lead end‑to‑end analytical solution design and guide junior team members Strong understanding of data modeling, feature engineering, and analytics architecture Prior experience driving analytics standardization or modernization initiatives Job Expectations: Applicants must be amenable to work onsite. Applicants must be amenable to work on mid shift and night shift Lead the design, delivery, and evolution of front‑line monitoring analytics to detect conduct, operational, and compliance risks across BOS. The role will own end‑to‑end risk monitoring solutions that identify trends, anomalies, and outliers, driving improvements in monitoring coverage, consistency, scalability, and timeliness. The individual will lead complex analytical solutioning using Python, SQL, and SAS, overseeing data preparation, metric and feature design, anomaly detection frameworks, and visualization outputs. The role will provide technical leadership across multiple monitoring initiatives, ensure analytical rigor, and guide effective escalation and risk insights. The role will play a key leadership position in BOS analytics modernization, including SAS‑to‑Python migration, adoption of GCP‑based analytics environments, and automation of monitoring workflows. In addition to hands‑on contribution where needed, the role will set analytics standards, drive documentation and reusability, review peer work, and mentor junior consultants. Exposure to agentic AI, LLM‑enabled analytics, and advanced modeling approaches is strongly preferred. Is critical to delivering BOS Front Line Monitoring’s 2026 mandate to drive Risk Clarity and Operational Excellence through AI‑powered analytics modernization. BOS has explicitly committed to transforming monitoring from rule‑centric, fragmented alerting to AI‑driven, behavioral, and trend‑based solutions,

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Source: https://jobsbylevel.com/jobs/senior-analytics-consultant-at-wells-fargo-4768c5

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