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Quantitative Analytics Program – Capital Markets

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, Charlotte

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Category:
Finance

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Quantitative Analytics Program provides you with an introduction to Wells Fargo and an opportunity to gain comprehensive professional industry experience. You will learn how to develop, implement, calibrate, or validate quantitative models for use across Wells Fargo lines of businesses, operations or products. Utilizing a combination of mentoring, classroom training, and project work, we provide an exciting and diverse environment where you will have the ability to tackle interesting and challenging real world problems. You will influence risk management strategies, interact with senior leaders, and participate in team building activities. Upon completion of the 24-month program which includes two 6-month rotations, you will join a team within your program track.

Job Responsibility:

  • Developing pricing 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

Requirements:

  • 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
  • PhD degree with an expected graduation date in December 2025-June 2026 OR graduated from a PhD program after May 2023 and is 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++, SAS, SQL and Java
  • Ability to communicate concepts and ideas, both verbally and written, and explain technical material to a non-technical audience
  • Experience and demonstrated knowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics

Nice to have:

  • PhD degree with an expected graduation date in December 2025-June 2026 OR graduated from a PhD program after May 2023 and is 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++, SAS, SQL and Java
  • Ability to communicate concepts and ideas, both verbally and written, and explain technical material to a non-technical audience
  • Experience and demonstrated knowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
What we offer:
  • Mentoring
  • Classroom training
  • Project work
  • Team building activities

Additional Information:

Job Posted:
August 09, 2025

Expiration:
October 30, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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