Senior Quantitative Analytics Specialist

Wells Fargo

Senior Quantitative Analytics Specialist at Wells Fargo developing analytical models for credit risk management and business strategy, utilizing advanced statistical and machine learning techniques.

Posted 7/31/2026full-timeMinneapolis • Iowa, Minnesota, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $153,000 - $239,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Quantitative Analytics with a strong foundation in statistical theory and machine learning techniques for credit risk management. Proficient in data analysis, modeling, and programming using SAS, Python, and R, with experience in building Credit Decisioning models.

Highest-signal resume keywords

Quantitative Analytics ExperienceData Analysis and ModelingSAS ProgrammingMachine Learning TechniquesCredit Decisioning Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisEconometric ModelingMachine LearningData AnalysisProgramming in PythonProgramming in RRelational DatabasesS3 Data File SystemsSpark Data ProcessingLinear Models

Soft Skills

Excellent Communication SkillsCollaboration

Certifications & Qualifications

Masters Degree in Quantitative Discipline

Industry Keywords

Credit Risk ManagementStatistical TheoryModeling and ForecastingAnalytical StrategiesHazard ModelsGradient Boosted Decision TreesTime-Series AnalysisOLS RegressionLogistic RegressionPanel Regression

Tech Stack

Tools & technologies

PythonSpark

About the role

Key responsibilities & impact

Perform highly complex activities related to creation, implementation, and documentation
Use highly complex statistical theory to quantify, analyze and manage credit risk.
Participate in the discussion related to analytical strategies, modeling and forecasting methods
Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Requirements

What you’ll need

4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Masters degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Data analysis, modeling, and programming experience using SAS and Python or R
Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling
Experience working with relational databases and S3 or Iceberg data file systems and distributed data processing tools such as Spark
Theoretical and applied knowledge pertinent to build Credit Decisioning models using advanced statistical techniques/machine learning for credit decisioning and account management
Experience with linear model and Machine Learning techniques including time-series, OLS, logistic regression, hazard models, panel regression, gradient boosted decision trees

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement