The Wells Fargo Quantitative Analytics Program offers PhD candidates an opportunity to apply advanced analytics, artificial intelligence, and machine learning to complex business challenges at one of the world's leading financial institutions.
This 12-month development program combines hands-on project experience, mentorship, technical training, and exposure to senior leaders. Through two six-month rotations, you'll work alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.
You'll be expected to bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way, you'll develop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment.
Upon completion of the program, you'll transition into a full-time role aligned with your skills, interests, program experience and business need.
What You'll Be Doing: You could work on high-impact projects like:
- Forecasting loss and revenue for credit card loan portfolios
- Developing credit scorecards for consumer decisioning strategies
- Building models to identify money laundering patterns across massive transaction databases
- Predicting operational losses using statistical and machine learning modeling
- Applying statistical and quantitative techniques to validate model design, calibration, implementation.
What You'll Experience: During the program, you will:
Step into a data-driven environment where advanced analytics, machine learning, and emerging technologies power smarter decisions across the enterprise. In the Quantitative Analytics Program, you'll work at the intersection of data, risk, and innovation-solving complex problems that directly impact customers and the broader financial system.
You'll design and deploy models that inform critical decisions across credit risk, financial crime, customer experience, and operations. From forecasting portfolio performance to applying generative AI in underwriting and customer interactions, your work will drive meaningful outcomes at scale.
Working with large, real-world datasets, you'll partner with cross-functional teams and senior leaders to turn sophisticated quantitative techniques into actionable insights. Whether detecting fraud, optimizing strategies, or building AI-driven solutions, you'll play a key role in shaping how data powers the future of banking.
Required Qualifications:- 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Required Qualifications for Europe, Middle East & Africa only:- Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Desired Qualifications: • Successful completion of 2026 Quantitative Analytics Internship Program
• Currently pursuing a PhD degree with an expected graduation date between December 2026 - June 2027 OR graduated from a PhD program after May 2024 and are currently completing a postdoc with emphasis in Statistics, Data Science, Mathematics, Econometrics, Computer Science, Engineering or related quantitative field.
• Excellent programing skills and use of statistical software packages such as Python, R, SQL, Spark and Java
• Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions.
• Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset.
• Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings.
• Strong business acumen and understanding of capital markets, with a commitment to providing excellent service and supporting data-informed business outcomes.
• Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment.
• Experience and demonstrated first-hand knowledge in a number of these areas: machine learning/AI models data analysis, statistical modeling, data management, and computing
Join us at Wells Fargo and become a part of a dynamic team that is shaping the future of the financial industry. Apply now and embark on a journey towards personal and professional growth in quantitative analytics. #earlycareers
Posting End Date: 11 Aug 2026
*Job posting may come down early due to volume of applicants.
