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Quantitative Analytics Program

Explore our quantitative analytics program.

The rotational Quantitative Analytics program is designed to provide you with the opportunity to gain comprehensive professional and industry experience that prepares you to develop, implement, calibrate, and validate various analytical models. Wells Fargo hires a number of PhDs and Master’s Candidates within the Capital Markets, and Risk Analytics and Decision Science teams.

What will you do?

Your responsibilities include, but are not limited to:

Developing and validating models for different uses under the direction of experienced team members according to the track of your choice: 

The Capital Markets Track  deals with the mathematical models for pricing, hedging and risking complex financial instruments. Wells Fargo trading portfolios include products in all traded asset classes such as credit, commodity, Equity, FX Rate, Mortgages, and Asset-Backed Finance.

The Risk Analytics & Decision Science Track  deals with the statistical, econometric, and machine-learning/AI models for a variety of applications, including loss and revenue forecasting, credit decisions, financial crimes, fair lending, operational risks, and analysis of unstructured data such as text and audio.

• Use Python, R, C++, SAS, SQL or other programming languages as well as mathematical/statistical packages for model development and validation
• Perform mathematical model development and validation (risk assessment) under the direction of experienced team members
• Produce required documentation to evidence model development or validation
• Understand business needs and providing possible solutions through clear verbal and written communications to management and fellow team members
• Stay up to speed on industry challenges and new and innovative modeling techniques used across Wells Fargo to solve business problems or enhance business capabilities.
• Participate in model related projects for varying purposes, methodologies and relevant lines of business

Is this opportunity right for you?

Program structure and desired qualifications:

• Full-time program for Master's and PhD candidates. This is a 12-month rotational program that starts in July (1-month classroom training followed by two rotations).
• Summer internship for Master's and PhD candidates. Program length is 10 weeks.
• Enrolled in a Master’s or PhD program in: Statistics, Applied or Computational Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, Engineering or related quantitative field or a related quantitative field
• Excellent computer programing skills and use of statistical software packages such as Python, R, SAS, SQL, Spark, Java, and C++
• Strong verbal, written communication and interpersonal skills
• For the Capital Markets Track : Experience and demonstrated knowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
• For the Risk Analytics & Decision Science Track : Experience and demonstrated first-hand knowledge in a number of these areas: data analysis, statistical modeling, machine learning/AI models, data management, and computing

What does my future look like?

Upon successful completion of the program, participants will be permanently placed in one of Wells Fargo's model development or model validation groups:

• Artificial Intelligence Machine Learning Model Development
• Traded Products Model Development
• Risk Modeling Group
• Market and Counterparty Risk Analytics
• Mortgage Model Development
• Corporate Model Risk
• Commercial Banking Model Development
• Consumer Modeling

Where are the opportunities?

Summer internship and full-time opportunities are located in Charlotte, NC. Additional locations may be added based on business needs.

Helpful resources

Learn about the Quantitative Analytics Centers of Excellence .

Learn more about the   application process.

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An internship is a supervised, work-related experience, either volunteer or compensated. The primary purpose of an internship is to provide real-world experience to a student in applying statistical methods in business, government, or industry. Major parts of the process are initiative, creativity, and communication.

• The student should seek a faculty advisor who will oversee the internship.
• The first paper is due by the end of the second week of classes. It should outline the responsibilities of the position and include a statement of what the student expects to gain from the internship.
• The second paper is due by the end of the seventh week of classes. The status report should summarize major activities and accomplishments to date.
• The third paper is due before the start of final exams. The final report should summarize major activities and accomplishments over the entire term. It also should discuss how the internship experience educationally and professionally benefited the student. Are there opportunities for future work with the organization? The final report should also include a section providing conclusions and an assessment of the internship experience.
• The student should schedule times with the faculty advisor throughout the semester to discuss the progress and future direction of the internship.
• The student should be prepared to demonstrate initiative and creativity in applying statistical methods in the organization. The student should not expect the supervisor at the internship site to be an expert in statistical methods and to have specific tasks designed for the intern to accomplish. Furthermore, few real-world problems are as well-defined and limited in scope as textbook and exam problems. A systems-level perspective and an analytical approach to problems usually are necessary.
• The ability to effectively communicate the procedures and results of statistical analyses, both in writing and orally, is essential. The written component is addressed in paragraph 2 above. To satisfy the oral component of communication in the internship experience, the student should meet regularly (at least biweekly) with the supervisor at the internship site to update him or her on the student's activities and results. A final oral presentation to the supervisor summarizing the work done and results obtained should be done during the final week of the internship. The faculty advisor should be invited to this presentation at the internship site.

You’re located near

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Sasha, Customer Experience

Current PhD - Data Science Internship - Summer 2025

Key Role Details

This is a full-time paid internship program spanning ten weeks from June through August 2025.  

Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model , for the duration of the program.

Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.   

Basic Qualifications

Currently pursuing a PhD with an expectation that your degree will be obtained by August 2027 or earlier 

Must be continuing in the same course of study of your PhD degree following completion of the internship

At least 6 months experience or academic work using open source programming languages for data analysis

At least 6 months of experience or academic work using machine learning techniques

At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

Experience or academic work in inferential statistics

Experience or academic work with relational databases

Experience or academic work with large scale data analysis

Data Science Internship - 2025

As a Data Scientist at Capital One, you’ll be part of a high-performing team that’s embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques.  You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. 

On any given day, you might:

Evaluate open-source and internally-developed modeling and analytics tools using real business data

Integrate internal data with external data sources and APIs to discover and implement actionable insights

Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is…

Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

A Communicator.  You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels. 

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): 

$181,000 - $181,000 for Data Science PhD Intern

San Francisco, California (Hybrid On-site): 

$191,000 - $191,000 for Data Science PhD Intern

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

How We Hire

We take finding great coworkers pretty seriously.

Step 1 Apply

It only takes a few minutes to complete our application and assessment.

Step 2 Screen and Schedule

If your application is a good match you’ll hear from one of our recruiters to set up a screening interview.

Step 3 Interview(s)

Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you.

Step 4 Decision

The team will discuss — if it’s a good fit for us and you, we’ll make it official!

How to Pick the Perfect Career Opportunity

Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence.

Your wellbeing is our priority

Our benefits and total compensation package is designed for the whole person. Caring for both you and your family.

Healthy Body, Healthy Mind

You have options and we have the tools to help you decide which health plans best fit your needs.

Save Money, Make Money

Secure your present, plan for your future and reduce expenses along the way.

Time, Family and Advice

Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell.

Career Journey

Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

A possible career journey at Capital One:

• Coordinator
• Senior Coordinator
• Principal Coordinator
• Senior Associate
• Principal Associate
• Senior Manager
• Senior Director

Senior Associate, Data Science - People Analytics

Senior associate data scientist - statistical analysis, financial services, principal data scientist, commercial banking data science, senior associate, data scientist - servicing intelligence.

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