PhD candidates

PhD Candidates

Wells Fargo hires a small number of Math, Physics, and Engineering Ph.Ds. as Quantitative Analytics Associates within the Wells Fargo Securities (WFS) Market-Risk Analytics, Fixed-Income Analytics, and Equity Analytics teams. These teams develop and validate mathematical models for pricing and hedging complex financial instruments. The models cover a variety of asset classes and are used to assess risk management and develop official pricing.

Your work begins with a seven-week training period which will introduce you to the businesses and products within WFS, libraries and tools, production systems, and project work. After training, you will start rotations in the areas of development, validation, or risk analytics. At the end of the third rotation, 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:

  • Developing, implementing, calibrating, or validating models
  • Performing historical and analytical research
  • Analyzing processes and workflows to make process improvement recommendations, solve problems and address requests
  • Educating the trading desk on the strengths, weaknesses, and potential of the models
  • Producing required documentation to substantiate development and for validation
  • Contributing code to analytics libraries
  • Working directly with senior leaders to establish a clear understanding of business needs

Qualifications

Required qualifications

  • Completion of all requirements, including thesis defense, for a PhD in Math, Physics, Engineering or other mathematical field by the start of the program in June of 2017. The degree must be awarded at the next available granting date
  • First-hand experience with numerical methods such as the numerical solution of partial differential equations, Monte Carlo methods, principal component analysis, linear algebra, stochastic calculus, and numerical integration
  • Strong written and oral communication skills
  • The ability to explain complex mathematical concepts to an intelligent but nonmathematical audience
  • Demonstrated ability to effectively organize tasks, manage time, and set priorities and deadlines

Desired qualifications

  • Knowledge of risk-neutral pricing theory and fixed-income-option pricing (financial services knowledge is not required)
  • Professional experience through internships, part-time or full-time work
  • Demonstrated leadership experience in an academic or community setting
  • Demonstrated experience in successfully collaborating with others in a change-driven environment
  • Ability to travel based on business needs

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