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Senior Risk Analytics Consultant

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

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

What you’ll bring

All qualifications

Core experience

  • 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Strong understanding of consumer credit products, including Credit Cards, Personal Loans, Mortgages, and Small Business Lending, with knowledge of the corresponding credit lifecycle.
  • Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
  • 10 Nov 2026*Job posting may come down early due to volume of applicants.
  • Experience in credit risk strategy development/implementation, validation, monitoring, and testing, with the ability to assess strategy effectiveness and identify emerging risks.
  • Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments.

Preferred experience

  • Strong understanding of consumer credit products, including Credit Cards, Personal Loans, Mortgages, and Small Business Lending, with knowledge of the corresponding credit lifecycle.
  • Experience in credit risk strategy development/implementation, validation, monitoring, and testing, with the ability to assess strategy effectiveness and identify emerging risks.
  • Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments.
  • Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
Qualification wording
4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong understanding of consumer credit products, including Credit Cards, Personal Loans, Mortgages, and Small Business Lending, with knowledge of the corresponding credit lifecycle.
Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
10 Nov 2026*Job posting may come down early due to volume of applicants.
Experience in credit risk strategy development/implementation, validation, monitoring, and testing, with the ability to assess strategy effectiveness and identify emerging risks.
Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments.
Apply at WF Group

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

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How this job compares

Time since we first saw it

Day 0

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From 10,658 similar postings that came down. Coming down is not always a hire.

WF Group is hiring

37 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
  • 22% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SAS
  • SQL
  • Excel
  • Oracle
  • Power BI
  • Tableau
Where the posting names them
- Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments. - Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools. - Strong analytical, problem-solving, verbal, and written communication skills, with the ability to effectively communicate complex risk and portfolio insights to senior stakeholders and business partners.
- undefined - Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools. - undefined
- Experience in credit risk strategy development/implementation, validation, monitoring, and testing, with the ability to assess strategy effectiveness and identify emerging risks. - Advanced proficiency in SAS and SQL programming, with hands-on experience working with large-scale databases such as Teradata and Oracle for data extraction, analysis, and validation. - Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments.
- Advanced proficiency in SAS and SQL programming, with hands-on experience working with large-scale databases such as Teradata and Oracle for data extraction, analysis, and validation. - Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments. - Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
- Advanced proficiency in SAS and SQL programming, with hands-on experience working with large-scale databases such as Teradata and Oracle for data extraction, analysis, and validation. - Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments. - undefined

Your next step

Complete your application on wd1.myworkdaysite.com. The employer’s form will show what is required.

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Has WF Group posted this job before?

Yes. We’ve followed one other Senior Risk Analytics Consultant job there since October 2026. It came down after 6 days.

  1. BengaluruCame down after 6 days, first seen Oct 21
  2. This jobUp 0 days so far, first seen Nov 4

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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
  • Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
  • Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, 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
  • Lead projects, teams, and mentor less experienced staff
  • Partner with cross enterprise risk analysts in development of common modeling strategies


Required Qualifications:

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

Desired Qualifications:

  • Strong understanding of consumer credit products, including Credit Cards, Personal Loans, Mortgages, and Small Business Lending, with knowledge of the corresponding credit lifecycle.
  • Experience in credit risk strategy development/implementation, validation, monitoring, and testing, with the ability to assess strategy effectiveness and identify emerging risks.
  • Advanced proficiency in SAS and SQL programming, with hands-on experience working with large-scale databases such as Teradata and Oracle for data extraction, analysis, and validation.
  • Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments.
  • Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
  • Strong analytical, problem-solving, verbal, and written communication skills, with the ability to effectively communicate complex risk and portfolio insights to senior stakeholders and business partners.


Job Expectations:

  • Provide independent review and challenge of consumer credit decision strategies, including assessment of strategy frameworks, validation of business rules against production, and identification of potential risks, control gaps, and improvement opportunities.
  • Own and execute data sampling for review process, using targeted and random sampling methodologies, data validation, quality checks, control execution, and timely delivery of samples for review activities.
  • Perform ongoing monitoring and oversight of consumer credit portfolios by analysing risk, performance, and deliver actionable insights to support business growth, optimize portfolio performance, and mitigate credit risk.

Responsibilities:

 

  • Provide independent review and challenge of consumer credit decision strategies, including assessment of strategy frameworks, validation of business rules against production, and identification of potential risks, control gaps, and improvement opportunities.

 

  • Own and execute data sampling for review process, using targeted and random sampling methodologies, data validation, quality checks, control execution, and timely delivery of samples for review activities.

 

  • Perform ongoing monitoring and oversight of consumer credit portfolios by analysing risk, performance, and deliver actionable insights to support business growth, optimize portfolio performance, and mitigate credit risk.

 

Required Skills:

 

  • Strong understanding of consumer credit products, including Credit Cards, Personal Loans, Mortgages, and Small Business Lending, with knowledge of the corresponding credit lifecycle.

 

  • Experience in credit risk strategy development/implementation, validation, monitoring, and testing, with the ability to assess strategy effectiveness and identify emerging risks.

 

  • Advanced proficiency in SAS and SQL programming, with hands-on experience working with large-scale databases such as Teradata and Oracle for data extraction, analysis, and validation.

 

  • Expertise in data visualization and reporting tools such as Power BI and Tableau, along with advanced skills in Microsoft Excel, PowerPoint, and Unix environments.
  • undefined
  • Proficiency in Python and working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
  • undefined

Strong analytical, problem-solving, verbal, and written communication skills, with the ability to effectively communicate complex risk and portfolio insights to senior stakeholders and business partners

Posting End Date: 

10 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.


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