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Lead Analytics Consultant -
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About this role:
Wells Fargo is seeking a Lead Analytics Consultant
In this role, you will:
Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards
Provide influence and leadership in the identification of new tools and methods to analyze data
Ensure adherence to compliance and legal regulations and policies on all projects managed
Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews
Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported
Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals
Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors
Required Qualifications:
5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualification :
Job Expectation :
Posting End Date:
2 Sep 2026We 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.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our 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.
Job ID: 153532763
Skills:
Data Architecture, Sql, Machine Learning, Cloud Technologies, Python, Gcp, Nlp, Agentic AI LLMs, AI architecture governance, MCP-enabled architectures, risk controls, large-scale data environments, LLM APIs, explainability, production deployment standards, anomaly detection, unstructured data analytics, analytics architecture, risk signal detection, workflow automation, SAS-to-Python migration, AI-powered monitoring solutions
Skills:
Data Architecture, Nlp, Python, Machine Learning, Sql, Gcp, custom agents, production deployment standards, AI-powered monitoring capabilities, anomaly detection, automation platforms, risk controls, risk signal detection, analytics automation, LLM APIs, Agentic AI LLMs, AI architecture governance, explainability, copilots, SAS-to-Python migration, MCP-enabled architectures, enterprise AI platforms, multi-agent solutions, unstructured data analytics
