2024 Summer Internship, Early Careers - Quantitative Analytics (PhD)

Key Skills

Aartificial intelligence, C++, Cloud computing, Data Analysis, Data management, Java Programming, Machine learning techniques, Python Programming, R Programming, Risk Analytics, SAS, Spark Core, SQL, Statistical modeling

Job Description

About this role

Wells Fargo is seeking talent to join the Summer Internship, Early Careers - Quantitative Analytics (PhD) Program. Learn more about the career areas and lines of business at wellsfargojobs.com

Program Overview

The internship program provides participants with a ten-week overview of Wells Fargo’s company operations, business strategies, and prepare them to develop or validate various quantitative models. The program is designed to provide graduate students with a blend of business and professional developmental training opportunities that incorporates real-world experiences and prepares you for a career at Wells Fargo. The internship program is a pipeline program where successful interns will receive an offer to return the following year for a second internship or full-time fellow program. 

There are two tracks:

• The Capital Markets track deals with mathematical models for pricing, hedging and risking complex financial instruments. Wells Fargo trading portfolios include products in all traded asset classes such as credit, commodity, Equity, FX, Rate, Mortgages, and Asset-Backed Finance.
• The Risk Analytics & Decision Science track 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 group includes:

• Artificial Intelligence Machine Learning Model Development
• Traded Products Model Development
• Risk Modeling Group
• Market and Counterparty Risk Analytics
• Mortgage Model Development
• Corporate Model Risk 
• Commercial Banking Model Development
• Consumer Modeling
• Wealth and Investment Management Modeling

In this role you will:

• Use Python, R, C++, SAS, SQL or other programming languages as well as mathematical/statistical packages for model development and validation (risk assessment)
• Perform mathematical model development and validation under the direction of experienced team members
• Produce required documentation to evidence model development or validation
• Understand business needs and provide possible solutions through clear verbal and written communications to management and fellow team members
• Stay up to speed on industry challenges and new and innovative modeling techniques used across Wells Fargo to solve business problems or enhance business capabilities.
• Participate in model related projects for varying purposes, methodologies and relevant lines of business

Program Dates: June - August 2024 (10 weeks, 40 hours per week)

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:

• Enrolled in a PhD program in: Statistics, Applied or Computational Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, Engineering or related quantitative field or a related quantitative field
• Excellent computer programing skills and use of statistical software packages such as Python, R, SAS, SQL, Spark, Java, and C++
• Excellent verbal, written, and interpersonal communication skills
• For the Capital Markets Track: Experience and demonstrated knowledge 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 and demonstrated first-hand knowledge in a number of these areas: data analysis, statistical modeling, machine learning/AI models, data management, and computing

Program Location: Charlotte, NC; Additional locations may be added based on business needs.

Based on the volume of applications received, this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of this posting, we encourage you to apply for other opportunities with Wells Fargo. After submitting your application, please monitor your e-mail for future communications.