Senior Quantitative Analytics Specialist (#001941)

Wells Fargo

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$167,000–$260,000 / yr
Posted
2 days ago
Closes
Jun 19, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k
This role $214k
$92k most similar roles pay here $278k

This role pays more than 88% of similar roles. Most pay $128,075–$184,905 — the shaded band above. At the midpoint, this role pays about $214k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 91 open roles on FindRole.

Listed pay typically runs $151,000–$239,000 across 54 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Senior Quantitative Analytics Specialist (#001941)

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join its Corporate Risk team in San Francisco, focusing on complex risk management activities. This role involves creating, implementing, and documenting sophisticated statistical models to quantify market risks and forecast losses while computing capital requirements. The specialist will collaborate with regulators and auditors, providing technical expertise and insights into analytical strategies and forecasting methods. Key responsibilities include developing predictive models using machine learning techniques, validating models to ensure regulatory compliance, and optimizing risk management processes across various business initiatives. Required skills encompass proficiency in programming languages such as SAS, R, Python, SQL, and MATLAB, along with experience in Hadoop and NoSQL databases, Linux/Unix environments, and stochastic modeling. The position demands a Master's degree in Business Analytics or related field and four years of relevant quantitative analytics experience.

What you'll do

  • Develop and implement complex quantitative models to manage market, credit, and operational risks.
  • Forecast losses and compute capital requirements using advanced statistical theories and methodologies.
  • Collaborate with regulators and auditors to ensure compliance with regulatory standards and industry best practices.
  • Utilize programming languages like SAS, R, Python, and SQL for data analysis and model development.
  • Validate models by identifying conceptual weaknesses and documenting validation activities comprehensively.
  • Provide expertise on structured securities and the theoretical foundations of statistical analyses.

What we're looking for

  • Master's degree in Business Analytics, Information Management, or related field required
  • Four years of experience in quantitative analytics or a related position
  • Proficient in programming languages such as SAS, R, C++, Python, SQL, and MATLAB
  • Expertise in predictive modeling using statistical and machine learning techniques
  • Experience with stochastic modeling, optimization, simulation, and computational statistics
  • Strong skills in documenting and presenting model development and validation outcomes
  • Ability to apply best practices in data processing, sampling, and model performance assessment

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