About this role:Wells Fargo is seeking talent to join the2027 Quantitative AnalyticsProgramRADS(PhD). Learn more aboutthecareerareas and lines of business at
Program Overview | 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'llwork alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.
You'llbeexpectedto bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way,you'lldevelop 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'lltransition into a full-time role aligned with your skills, interests, programexperience,and businessneeds.#earlycareers
You could work on high-impact projects like:
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,youllwork at the intersection of data, risk, andinnovationsolving complex problems that directlyimpactcustomers and the broader financial system.
Youll 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,youllpartner with cross-functional teams and senior leaders to turn sophisticated quantitative techniques into actionable insights. Whether detecting fraud,optimizingstrategies, or building AI-driven solutions,youllplay a key role in shaping how data powers the future of banking.