Lead Analytics Consultant

About this role:

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 Qualifications:

• Advanced handson 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 cloudbased 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 endtoend 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 frontline monitoring analytics to detect conduct operational and compliance risks across BOS. The role will own endtoend 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 SAStoPython migration adoption of GCPbased analytics environments and automation of monitoring addition to handson contribution where needed the role will set analytics standards drive documentation and reusability review peer work and mentor junior consultants. Exposure to agentic AI LLMenabled analytics and advanced modeling approaches is strongly preferred.
• Is critical to delivering BOS Front Line Monitorings 2026 mandate to drive Risk Clarity and Operational Excellence through AIpowered analytics modernization.
• BOS has explicitly committed to transforming monitoring from rulecentric fragmented alerting to AIdriven behavioral and trendbased solutions with Python cloud (GCP) and agentic AI as the default operating model.
• This role provides the senior technical ownership required to design and scale endtoend monitoring solutions lead SAStoPython migration automate workflows and ensure analytics remain explainable defensible and auditready as complexity and volume increase.
• The role also enables leverage of existing talent by setting standards mentoring junior consultants and operationalizing AI and agentic capabilities that BOS has identified as foundationalnot optionalto how Front-Line Monitoring operates day to day.
  

Posting End Date:

*Job posting may come down early due to volume of applicants.

We 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 units 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 visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy 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.