Senior Data Analytics Consultant - Banking & Risk Analytics
Wells Fargo is hiring a Senior Data Analytics Consultant - Banking & Risk Analytics. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SAS, Python and SQL.
- Level classifies it as a senior role.
- Level lists 1,600+ other open roles at Wells Fargo.
AI in this role
Senior Data Analytics Consultant performing advanced banking data analysis, risk management, and fraud monitoring using SAS and Python.
About this role:
Wells Fargo is seeking a Senior Analytics Consultant to perform advanced analytics on large-scale banking and transaction datasets, identify trends and patterns, and deliver actionable insights that support risk management, fraud monitoring, customer journey analysis, and business performance. This role requires strong analytical and problem-solving skills, experience with tools such as SAS, SQL, Tableau, Power BI, and Python, and the ability to communicate complex findings to business partners.
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
- Experience using SAS and Python for data analysis, reporting, automation, and analytics solutions
Desired Qualifications:
Excellent verbal, written, and interpersonal communication skills
Extensive knowledge and understanding of research and analysis
Strong analytical skills with high attention to detail and accuracy
Demonstrated expertise with analytic tools such as SAS EG, PC SAS, SAS Visual Analytics, SAS Viya, SQL and effectively obtain and merge data, perform analytics, and automate reporting from various sources is a plus.
Ability to communicate complex statistical concepts to non-experts
Knowledge of Consumer-facing business processes, products, data and systems.
Demonstrated ability to drive projects forward in a complex, resource-constrained environment with conflicting needs across stakeholders.
Effective leadership ability to drive successful execution of strategic plans; ability to plan, prioritize and set goals. Must possess strong collaboration skills.
Excellent analytical, critical thinking and problem-solving skills.
Ability to communicate powerfully and prolifically to senior and executive leaders and simplify the complex.
Ability to influence without direct authority, create and manage (while achieving results) large-scale change and influence people at all levels of the organization.
Demonstrated ability to execute effectively in a matrixed organization, develop partnerships with many business and functional areas.
Ability to lead through adversity and adjust to changing priorities.
Experience preparing presentations and analysis for third party and regulatory audiences.
Knowledge of Wells Fargo Community Bank products, sales processes, data and systems (for internal applicants)
Job Expectations:
- Lead the design and implementation of Tableau dashboard visualizations and define required supporting data architecture (e.g. data marts, centralized data sources, ad hoc data sources) for internal clients
- Be able to tell a story with data that will allow our partners to visualize risk appropriately
- Manipulate and process large datasets using the analytical and reporting features of multiple tools
- Define requirements for and test data sources for reporting, and design metrics that measure control effectiveness, various risks, and KPIs
- Mentor team members to broaden the team’s use of complex analytical and data visualization techniques
- Participate in cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into action
- Must be amenable to work from 5:00 PM to 2:00 AM Manila Time, Monday through Friday.
- Must be amenable to a hybrid work arrangement, with three (3) days onsite and two (2) days remote per week, subject to business requirements and changes.
- Must be willing to report onsite at McKinley, Taguig City.
Posting End Date:
29 Nov 2026*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 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 Disability 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.
How we rate this
Senior Data Analytics Consultant - Banking & Risk Analytics at Wells Fargo rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where fraud monitoring was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Walk me through how you've used SAS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analytics, Risk Management, Fraud Monitoring, Statistical Modeling, and SAS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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