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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. Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers.
Job Responsibility:
Perform highly complex activities related to the design, development, validation, implementation, documentation, and on-going maintenance of quantitative models
Utilize advanced mathematical skills and programming to create and validate analytic models
Develop, implement, and calibrate various analytical models
Perform highly complex activities related to financial products, business analysis and modeling
Perform statistical and mathematical analyzes using tools such as 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 work flow 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:
Master's degree in Statistics, Mathematics, or related quantitative field
2 years of experience in the job offered or in a related quantitative analytics role
Experience in programming languages used for statistical analysis and data programming such as SAS, R, C++, Python, and MATLAB
Experience in database and data storage technologies like Hadoop, SQL, and NoSQL
Experience in Linux and Unix Operating Systems
Experience in predictive modeling using statistical and machine learning techniques
Experience in Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning
Experience in statistical model development and validation
Experience in documenting and presenting detailed model development and validation outcomes and results
Experience in utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing