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Wells Fargo

Senior Risk Analytics Consultant

Wells Fargo is hiring a Senior Risk Analytics Consultant in Hyderabad, India. Level rates it ; you can apply on Wells Fargo.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include SAS, Power BI and risk analytics.
  • Level classifies it as a senior role.
  • Level lists 1,500+ other open roles at Wells Fargo.
  • The role was posted within the past week.

AI in this role

Analyze portfolio performance and emerging credit risk trends to provide actionable insights and support decision-making strategies.

SASPower BI
risk-analyticscredit-riskdata-visualizationportfolio-analysisforecasting

About this role:

Wells Fargo is seeking a Senior Risk Analytics Consultant.


In this role, you will:

  • Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
  • Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
  • Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, procedures, regulatory requests, and compliance requirements
  • Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
  • Support secured products strategy development, DSG audit activities, and PQR monitoring and analytics. Analyze portfolio performance and emerging risk trends and provide timely, actionable insights to support business and risk-management decisions.

Required Qualifications:

  • 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education

Desired Qualifications:

  • Proficiency in SAS and Power BI, with experience in credit risk analytics, data visualization, and translating complex data into actionable business insights. Strong analytical, problem-solving, communication, and stakeholder management skills.


Job Expectations:

  • In office expectations: 4 days a week
  • Shift timings: 1:30 PM to 10:30 PM

Posting End Date:

17 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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.


How we rate this

Senior Risk Analytics Consultant at Wells Fargo rates 0 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Risk AnalyticsCredit RiskData VisualizationPortfolio AnalysisForecastingSASPower BI

Questions you could be asked

  1. Tell me about a project where risk analytics was part of your work. What did you do?
  2. Tell me about a project where credit risk was part of your work. What did you do?
  3. Tell me about a project where data visualization was part of your work. What did you do?
  4. Tell me about a project where portfolio analysis was part of your work. What did you do?
  5. Tell me about a project where forecasting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Risk Analytics, Credit Risk, Data Visualization, Portfolio Analysis, and Forecasting. 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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