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Lead 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

Wells Fargo is seeking a Lead risk analytics consultant for Retail products.

Role will focus on credit risk analytics, strategy and Loss forecasting

  • Develop and run the medium-term credit loss forecasting framework

  • Lead discussions with business and risk stakeholders on forecast numbers

  • Build risk rating methodologies using statistical and machine learning models

  • Build monitoring dashboards and report on asset quality and portfolio trends

  • Manage rollout of pilot programs from programmed models

From the employer’s posting
Wells Fargo is seeking a Lead risk analytics consultant for Retail products.
Role will focus on credit risk analytics, strategy and Loss forecasting
Develop Loss forecasting framework & execute the same to generate key credit loss metrics for medium term.
Lead discussions with key stakeholders from business & risk functions to explain the forecasted numbers
Builds risk rating methodologies using advanced analytics approaches including statistical modeling and machine learning techniques
Develop comprehensive monitoring frameworks and dashboards
Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line

What you’ll bring

All qualifications

Core experience

  • 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.
  • 17 Nov 2026*Job posting may come down early due to volume of applicants.
  • Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management.
  • Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA.
  • Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques.
  • Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution.
Qualification wording
5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.
17 Nov 2026*Job posting may come down early due to volume of applicants.
Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management.
Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA.
Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques.
Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution.
Apply at WF Group

Posting record

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Likely evergreenReposted 3 times since Aug 21, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Nov 12, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 13, 2026
Reposted
3 times since Aug 21, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 43.

At WF Group, jobs usually come down by about day 6.

From 14,545 similar postings that came down, and 295 of WF Group’s. Coming down is not always a hire.

WF Group is hiring

15 open jobs

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

  • Analyst hiring is steady
  • Takes jobs down quickly
  • 40% 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
  • R
  • SAS
  • SQL
  • Excel
  • Oracle
  • Power BI
  • Tableau
Where the posting names them
- Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L, drivers. - Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA. - Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques.
- Develop comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making. - Reports on asset quality, portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics. - Builds risk rating methodologies using advanced analytics approaches including statistical modeling and machine learning techniques, not limited to Random Forest, Decision Trees, Segmentation, and/or Time-series modeling.
- Builds risk rating methodologies using advanced analytics approaches including statistical modeling and machine learning techniques, not limited to Random Forest, Decision Trees, Segmentation, and/or Time-series modeling. - Develop complex programming models to extract data and/or manipulate databases such as ORACLE, Teradata. - To be effective in this position, you will need to have a good understanding of credit, practice in the test and learn discipline and exploratory analysis and be fluent in both the key technical tools of credit risk decisioning and sound credit judgment.
- Strong ability to develop partnerships and collaborate with other business and functional area. - Build dashboards and reports with Power BI Job Expectations:

Your next step

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Has WF Group posted this job before?

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

  1. BengaluruCame down after 6 days, first seen Aug 21
  2. This jobUp 1 day so far, first seen Nov 12

About WF Group

People
About 175,648 in 2024.Benefit plan filings (Form 5500)
Company
Listed as WFC.
Layoff notices
Notices this year and last cover 255 people. The latest was filed October 28, 2026.State WARN notices

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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 Lead risk analytics consultant for Retail products.

Role will focus on credit risk analytics, strategy and Loss forecasting


In this role, you will:

  • Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
  • Review and perform complex analysis to extract data to provide statistical and financial modeling specific to businesses supported
  • Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
  • Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and , policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
  • Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals

 

Required Qualifications:

  • 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.
  • The incumbent would functionally contribute as a Lead Consultant to the Consumer Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
  • Lead and deliver on significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership. Acts as a subject matter expert for senior leaders.
  • Assesses and predicts risk and performance through business analysis and/or modeling.  Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions.
  • Control & Governance + Risk experience preferred.
  • Develop Loss forecasting framework & execute the same to generate key credit loss metrics for medium term. Lead discussions with key stakeholders from business & risk functions to explain the forecasted numbers & finetune the projection basis high level feedback. Mentor junior members to ensure delivery of different components of forecasting framework.
  • Develop comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making.
  • Reports on asset quality, portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics.
  • Builds risk rating methodologies using advanced analytics approaches including statistical modeling and machine learning techniques, not limited to Random Forest, Decision Trees, Segmentation, and/or Time-series modeling.
  • Develop complex programming models to extract data and/or manipulate databases such as ORACLE, Teradata.
  • To be effective in this position, you will need to have a good understanding of credit, practice in the test and learn discipline and exploratory analysis and be fluent in both the key technical tools of credit risk decisioning and sound credit judgment.
  • Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management.
  • Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L, drivers.
  • Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA.
  • Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques.
  • Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution.
  • Knowledge and understanding of consumer and small business loans, credit card lending practices, policies, procedures, and key drivers impacting credit offerings.
  • Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities.
  • Strong ability to develop partnerships and collaborate with other business and functional area.
  • Build dashboards and reports with Power BI

 

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.


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