Full-Time

Quantitative Analytics Program

Risk Analytics and Decision Science

Deadline 9/21/26
Wells Fargo

Wells Fargo

10,001+ employees

Nationwide banking and financial services

No salary listed

No H1B Sponsorship

Charlotte, NC, USA

In Person

Master's, PhD

Category
Quantitative Finance (1)
Required Skills
LLM
Python
Data Visualization
R
Forecasting
Apache Spark
SQL
Machine Learning
Java
Data Engineering
Data Analysis

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Requirements
  • At least 2 years of Quantitative Analytics experience, or equivalent experience demonstrated through work experience, training, military experience, or education.
  • A master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or another quantitative discipline.
  • Currently pursuing a PhD with an expected graduation date between December 2026 and June 2027, or having graduated from a PhD program after May 2024 and currently completing a postdoctoral appointment emphasizing statistics, data science, mathematics, econometrics, computer science, engineering, or a related quantitative field.
  • Programming proficiency and use of statistical software packages such as Python, R, SQL, Spark, and Java.
  • Quantitative and analytical ability applied to data analysis, modeling, visualization, statistics, research, and generative artificial intelligence.
  • Data and software engineering skills to design, develop, and deliver scalable solutions.
  • Strong communication skills for collaborative analytical settings.
  • Business acumen and understanding of capital markets.
  • Ability to support risk assessments and apply risk controls in a disciplined, data-driven environment.
  • First-hand experience in machine learning or artificial intelligence models, data analysis, statistical modeling, data management, or computing.
  • Current authorization to work for any employer in the United States without requiring Wells Fargo sponsorship now or in the future.
Responsibilities
  • Forecast loss and revenue for credit card loan portfolios.
  • Develop credit scorecards for consumer decisioning strategies.
  • Build models to identify money laundering patterns across transaction databases.
  • Predict operational losses using statistical and machine learning modeling.
  • Apply statistical and quantitative techniques to validate model design, calibration, and implementation.
  • Design and deploy models that inform decisions across credit risk, financial crime, customer experience, and operations.
  • Apply generative artificial intelligence in underwriting and customer interactions.
  • Work with large real-world datasets and cross-functional teams to turn quantitative techniques into actionable insights.
  • Detect fraud, optimize strategies, and build artificial-intelligence-driven solutions.
  • Complete two six-month rotations involving hands-on project experience, mentorship, and technical training.
Desired Qualifications
  • A PhD degree or postdoctoral experience in statistics, data science, mathematics, econometrics, computer science, engineering, or a related quantitative field.

Wells Fargo provides banking, investment, and payment services to individuals, businesses, and institutions. Its products include checking and savings accounts, loans, credit cards, wealth management, and payments, accessible through branches, online and mobile platforms, and full payment rails. The company combines a wide national footprint with a long history and a business model that integrates banking, investment, and payments, supported by a large network of branches and ATMs. Its goal is to help customers manage money, grow wealth, and move funds safely and reliably.

Company Size

10,001+

Company Stage

IPO

Headquarters

San Francisco, California

Founded

1851

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 2026 Fed termination ended the last major enforcement action on Wells Fargo.
  • 2Q26 net income hit $6.4 billion, with net interest income up 5%.
  • Wealth recruiting accelerated in 2026, adding Gianluca Palermo and James Taylor teams.

What critics are saying

  • Wells Fargo still carries fake-accounts brand damage; adviser retention remains fragile after 2016 scandals.
  • Independent advisers brought $17 billion, but technology-enabled breakaways can drain assets quickly.
  • A renewed compliance lapse would trigger harsher supervision and erase the Fed-relief franchise premium.

What makes Wells Fargo unique

  • June 2025 asset-cap removal restores growth optionality versus JPMorgan and BofA.
  • Barry Sommers' 2020 wealth overhaul attracted $17 billion from independent advisers in 2026.
  • 2Q26 revenue rose 9% to $22.6 billion, showing operating leverage under Charlie Scharf.

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Benefits

Health Insurance

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Parental Leave

Disability Insurance

Life Insurance

Tuition Reimbursement

Commuter Benefits

Adoption Assistance

Company News

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