Senior Analytics Consultant
Wells Fargo (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 14–24 LPA
Posted 15h ago
Reach people at Wells Fargo
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Wells Fargo you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, delivery, and evolution of front-line risk monitoring analytics to detect conduct, operational, and compliance risks using Python, SQL, and SAS.
- Provide senior technical ownership for end-to-end risk monitoring solutions including SAS-to-Python migration, automation of workflows, and adoption of GCP cloud analytics.
- Mentor junior consultants, set analytics standards, and ensure explainability, audit-readiness, and compliance in AI-powered monitoring modernization initiatives.
Minimum Requirements
- 4+ years of analytics experience (or equivalent via training, military, education).
- Strong Python skills for analytics, anomaly detection, and scalable monitoring.
- Experience working onsite and willing to work mid and night shifts.
- Strong SQL and SAS experience in risk monitoring or regulatory environments with cloud platform exposure (GCP preferred).
Ideal Candidate Profile
- Experienced in leading complex, end-to-end analytical solution design and migration projects within risk/operational monitoring contexts.
- Demonstrated ability to operationalize advanced AI techniques such as LLMs, agentic AI workflows, and automate monitoring at scale.
- Comfortable working in a cross-functional, compliance-heavy environment requiring analytical rigor, setting standards, and mentoring technical teams.