Quantitative Analytics Specialist (001913)

Wells Fargo Bank • Charlotte, NC

4d • Hybrid

About The Position

Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk. The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

Requirements

• PhD degree in Statistics, Mathematics, Physics, Computer Science, or related quantitative field.
• One (1) year of experience in the job offered or in a related position involving quantitative analytics experience. Experience can be gained concurrently with graduate level education.
• Experience with financial asset pricing and value-at-risk (VaR) modeling
• Experience with mathematical methods for finance, PDE, and binomial trees
• Experience with programming languages used for statistical analysis and data programming including SAS, R, C++, Python, SQL
• Experience with predictive modeling using statistical and machine learning techniques
• Experience with Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning
• Experience performing statistical model development and validation
• Experience documenting and presenting detailed model development and validation outcomes and results
• Experience utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing.

Responsibilities

• Develop, implement, and calibrate various analytical models.
• Perform highly complex activities related to financial products, business analysis and modeling.
• Perform basic statistical and mathematical models using Python.
• Perform analytical support and provide insights regarding a wide array of business initiatives.
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management.
• Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree