Quantitative Analytics Specialist (001937)

Wells Fargo & Company • Irving, TX

1d • Hybrid

About The Position

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. Wells Fargo Bank N.A. seeks a Quantitative Analytics Specialist in Irving, TX. Job Role and Responsibility: (Multiple positions available). Responsible for performing highly complex activities related to the design, development, validation, implementation, documentation, and on-going maintenance of quantitative models that offer insights to a wide range of product, business, or risk mitigation initiatives. 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. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address. Travel required: None.

Requirements

• Degree required: Master's degree in Statistics, Mathematics, or related quantitative field.
• Amount and type of experience required: 2 years of experience in the job offered or in a related quantitative analytics role. Experience can be gained concurrently with graduate level education.
• Specific skills required: Position requires experience in the following: Skills can be gained through work experience or graduate degree coursework Programming languages used for statistical analysis and data programming such as SAS, R, C++, Python, and MATLAB; Database and data storage technologies like Hadoop, SQL, and NoSQL; Linux and Unix Operating Systems; Predictive modeling using statistical and machine learning techniques; Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning; Statistical model development and validation; Documenting and presenting detailed model development and validation outcomes and results; and Utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing.

Responsibilities

• performing highly complex activities related to the design, development, validation, implementation, documentation, and on-going maintenance of quantitative models that offer insights to a wide range of product, business, or risk mitigation initiatives
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level