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At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. 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.
Job Responsibility
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, R, SAS, C++ and SQL
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.
Requirements
PhD in Physics, Mathematics, Engineering, Computer Science, or related field
2 years of quantitative analytics experience or equivalent, experience can be gained concurrently with graduate level education
Advanced mathematical and statistical expertise
Experience with stochastic calculus and probability theory
Quantitative finance skills
Strong understanding of Monte Carlo simulation and financial derivatives
Experience with Programming and software development
Expertise in Python and C++
Familiarity with big data frameworks and databases.