Wells Fargo Analytics Program Recruiting Graduating PhDs
Quantitative Analytics Program
Wells Fargo’s Quantitative Analytics program is designed to recruit graduating PhDs and provide them comprehensive professional and industry experience. The new hires will learn the necessary skills to develop, implement, validate, and/or audit various quantitative models. Each successful quant will participate in a 12-month rotational program and then will be placed in a permanent position. There are two tracks.
A. The Capital Markets track deals with developing and validating mathematical models for pricing and hedging complex financial instruments. After the 12-month rotation, analysts will be placed in one of the following areas: Securities Trading, Corporate Risk Analytics, Mortgage, Corporate Model Risk, or Audit. Locations are: Charlotte (NC), McLean (VA), New York (NY) and San Francisco (CA).
o Graduating PhDs interested in the Capital Markets track should apply to job ID 5510217.
B. The Credit & Operational Risks track deals with developing and validating statistical, econometric, and machine learning models for a variety of applications: loss and revenue forecasting, credit decisions, financial crimes, fair lending, operational risks, stress testing, etc. After the 12-month rotation, analysts will be placed within Centers of Excellence involving credit or operational risks. Locations are: Atlanta (GA), Charlotte (NC), McLean (VA), Minneapolis (MN) and San Francisco (CA).
o Graduating PhDs interested in the Credit & Operational Risk track should apply to job ID 5511014.
Required Qualifications:
A PhD in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field; or a Master’s degree in one or a combination of the above listed areas and two or more years of relevant industry experience.
Desired qualifications:
The ideal candidate for the Capital Markets Track will have a PhD in Applied or Computational Mathematics, Physics, Financial Engineering, Computer Science, Operations Research, Engineering, or a related quantitative field;
The ideal candidate for the Credit & Operational Risks Track will have a PhD in Statistics, Computer Science, Economics/Econometrics, Operations Research, Engineering or a related quantitative field;
Please refer to the appropriate job description for additional desired qualifications for each track.
Application and Interview Process:
Interested applicants should apply online to the appropriate job ID (see information given above) at www.wellsfargo.com/careers. The deadline to apply is October 27, 2019.
Resumes should be around two pages long and include a list of relevant graduate courses taken and a description of dissertation research as well as other projects and practical experience.
First round interviews will take place via phone during November 2019.
Final round interviews will be on-site at our offices in Charlotte (NC) on January 14-15, 2020.
To view the full job description and apply
Visit the Wells Fargo careers site: wellsfargo.com/careers.
Click ‘Search Jobs’ and in the ‘Search Jobs’ field, enter the job ID number as listed above and click ‘Search’.
Follow the prompts to navigate the application page.
For more information, please send an email to: quantprogram@wellsfargo.com.
Relevant military experience is considered for veterans and transitioning service men and women. Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/ Disabled/Veteran/Gender Identity/Sexual Orientation © 2019 Wells Fargo Bank, N.A. All rights reserved.