PhD candidates

PhD and Masters Candidates

Wells Fargo hires a number of PhDs and Masters Candidates as Quantitative Analytics Associates within the Capital Markets, Credit Risk and Operational Risk teams. These teams develop and validate mathematical models for pricing and hedging complex financial instruments as well as calibrate statistical models for loss forecasting, credit risk scoring, risk segmentation and stress testing for a variety of products and processes

The Quantitative Associate program is designed to provide you with the opportunity to gain comprehensive professional and industry experience that prepares you to develop, implement, calibrate, validate or audit various analytical models.

Your work begins with a seven-week training period which will introduce you to the businesses and products within Wells Fargo libraries and tools, production systems, and project work. After training, you will start rotations in the areas of Capital Markets, Credit Risk or Operational Risk. At the end of rotations, you will be placed in a full-time role that is based on your preference and business needs. You will continue to receive ongoing coaching and development to assess performance.

As a Quantitative Analytics Associate, your responsibilities may include:

  • Performing core mathematical and statistical model development, validation or auditing
  • Leading and participating in model risk projects supporting varying purposes, methodologies and lines of business
  • Staying up to speed on industry challenges and new and innovative modeling techniques to ensure Wells Fargo maintains “best in class” practice
  • Understanding credit & operational processes, work flows and issues to sufficiently document and make recommendations for process improvements
  • Understanding business needs and provide possible solutions by explaining in a clear verbal and written communications to management and fellow team members

Qualifications

  • PhD or Master’s degree in Mathematics, Statistics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Applied or Computational Mathematics, Engineering or a related quantitative field: o PhD candidates should have completed their PhD or have an expected graduation no later than June 2018 (all requirements including thesis defense must be completed by the program start date)
  • Masters candidates should have completed their degree or have an expected graduation date no later than June 2018
  • Experience and ability to demonstrate first-hand knowledge in the areas of data analytics, modeling, statistical inference, computing, big data and machine learning
  • Excellent computer programing skills and use of statistical software packages such as C++, Python, R, SAS and SQL
  • Proven written and oral communication skills as well as interpersonal skills
  • Demonstrated ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
  • Ability to develop partnerships and collaborate with other business and function areas

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