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Program Overview
There are two tracks:
deals with statistical, econometric, and machine learning/AI models for a variety of applications, including loss and revenue forecasting, credit decisions, financial crimes, fair lending, operational risks, and analysis of unstructured data such as text and audio.
Placement groupincludes:
Artificial Intelligence Machine Learning Model Development
Traded Products Model Development
Risk Modeling Group– Forecast Model Development
Risk Modeling Group – Decision Model Development
Market and Counterparty Risk Analytics
Mortgage Model Development
Model Risk
Model Development Center
In this role, you will:
Perform mathematical model development and validation under the direction of experienced team members using Python, R, C++, SAS, SQL or other programming languages
Communicate solutions to stakeholders through verbal presentations and written documentation
Structured and engaging onboarding experience
Professional development opportunities
Networking and engaging with peers
Ideal candidate for this role:
Ability to communicate concepts and ideas, both verbally and written, and explain technical material to a non-technical audience
For the Capital Markets Track: Experience anddemonstratedknowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
For the Risk Analytics & Decision Science Track: Experience anddemonstratedfirst-hand knowledge in a number of these areas: data analysis, statistical modeling, machine learning/AI models, data management, and computing
Program Dates:June - August,2025 (10 weeks, 40 hours per week)
Charlotte, NC
Required Qualifications:
6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Currently pursuing aPhDdegree with an expected graduation date between December 2025 –or later
Currently pursuing a PhD degree inwith emphasis on Statistics, Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, Engineering or related quantitative field or a related quantitative field
Experience incomputer programing skills and use of statistical software packages such as Python, R, SAS, SQL, Spark, Java, and C++
Excellent verbal, written, and interpersonal communication
Involvement in extracurricular enrichment activities through one or more of the following: volunteerism, student organization involvement, study abroad program(s), leadership position(s), non-profitinvolvement
Intermediate Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills
We Value Diversity
1 Nov 2024
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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