2027 Quantitative Analytics Program Capital Markets (PhD) – Early Careers

About this role:   Wells Fargo is seeking talent to join the   2027 Quantitative Analytics Program Capital Markets (PhD) . Learn more about the career areas and lines of business at   wellsfargojobs.com .     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'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 in to one of the quant teams   aligned with your skills, interests,   program   experience,   and business   needs .   #earlycareers   You could work on high-impact projects like:    Developing pricing and risk models that are used by various Wells Fargo trading desks   Enhancing production models to mitigate any deterioration in model performance   Developing simulation models to forecast losses for trading portfolios   Developing benchmark models to assess potential limitations of production models   Providing analysis and reporting of metrics   utilized   to assess ongoing model   performance   Applying statistical and quantitative techniques to   validate   model design, calibration , and implementation .     Program dates:   July 2027 - July 2028    Program Duration : 12 months    Program Location:   Charlotte, NC     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 Qual ifications :   Currently pursuing a   PhD   degree with an expected graduation date in December 2026-June 2027   OR graduated from a PhD program after May 2024 and are currently completing a postdoc with emphasis in Mathematics, Physics, Engineering,   Statistics   or related quantitative field .         Excellent programing skills and use of statistical software packages such as Python, C++,   SQL,   and Java.   Experience and   demonstrated   knowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics     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