2027 Quantitative Analytics Program Capital Markets Masters Early Careers
Wells Fargo is a financial services company providing banking, lending, credit card, investment, wealth management, commercial banking, and corporate and investment banking services to consumers, businesses, and communities.
About Wells Fargo
Wells Fargo offers checking and savings accounts, credit cards, home and personal loans, auto loans, digital banking, payments, investment and wealth management, commercial banking, and corporate and investment banking. Its services support personal customers, small businesses, commercial clients, and institutional customers, with additional customer support through branches, ATMs, online banking, and the Wells Fargo Mobile app.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will apply advanced analytics, artificial intelligence, and machine learning to capital markets challenges. You will develop pricing, risk, simulation, and benchmark models, enhance production models, report model performance metrics, and validate model design, calibration, and implementation.
Requirements
- 6+ months of work experience or equivalent experience, training, military experience, or education
- Master's degree with an expected graduation date between December 2026 and June 2027
- Emphasis in Mathematics, Physics, Engineering, Statistics, or a related quantitative field
- Programming skills in Python, C++, SQL, and Java
- Knowledge of Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
- Quantitative and analytical skills
- Data analysis, modeling, visualization, statistics, research, and generative AI skills
- Data and software engineering skills
- Data management skills
- Communication skills
- Business acumen and understanding of capital markets
- Risk assessment and risk control knowledge
Responsibilities
- Develop pricing and risk models for trading desks
- Enhance production models to mitigate deterioration in model performance
- Develop simulation models to forecast losses for trading portfolios
- Develop benchmark models to assess limitations of production models
- Analyze and report metrics used to assess model performance
- Validate model design, calibration, and implementation
- Design, develop, and deliver scalable solutions
- Support risk assessments and apply risk controls
Benefits
- 12-month development program
- Mentorship
- Technical training
- Exposure to senior leaders
- Two six-month rotations